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573 lines
21 KiB
C++
573 lines
21 KiB
C++
///////////////////////////////////////////////////////////////////////////////////
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// Copyright (C) 2023 Jon Beniston, M7RCE <jon@beniston.com> //
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// //
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// This program is free software; you can redistribute it and/or modify //
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// it under the terms of the GNU General Public License as published by //
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// the Free Software Foundation as version 3 of the License, or //
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// (at your option) any later version. //
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// //
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// This program is distributed in the hope that it will be useful, //
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// but WITHOUT ANY WARRANTY; without even the implied warranty of //
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the //
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// GNU General Public License V3 for more details. //
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// //
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// You should have received a copy of the GNU General Public License //
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// along with this program. If not, see <http://www.gnu.org/licenses/>. //
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///////////////////////////////////////////////////////////////////////////////////
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#include <QDebug>
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#include <complex.h>
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#include "dsp/dspengine.h"
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#include "dsp/fftfactory.h"
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#include "util/db.h"
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#include "freqscanner.h"
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#include "freqscannersink.h"
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FreqScannerSink::FreqScannerSink() :
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m_channel(nullptr),
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m_channelSampleRate(48000),
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m_channelFrequencyOffset(0),
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m_scannerSampleRate(33320),
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m_centerFrequency(0),
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m_messageQueueToChannel(nullptr),
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m_fftSequence(-1),
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m_fft(nullptr),
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m_fftCounter(0),
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m_fftSize(1024),
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m_binsPerChannel(16),
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m_averageCount(0)
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{
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applySettings(m_settings, QStringList(), true);
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applyChannelSettings(m_channelSampleRate, m_channelFrequencyOffset, 16, 4, true);
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}
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FreqScannerSink::~FreqScannerSink()
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{
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if (m_fftSequence >= 0)
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{
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FFTFactory* fftFactory = DSPEngine::instance()->getFFTFactory();
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fftFactory->releaseEngine(m_fftSize, false, m_fftSequence);
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}
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}
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void FreqScannerSink::feed(const SampleVector::const_iterator& begin, const SampleVector::const_iterator& end)
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{
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Complex ci;
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for (SampleVector::const_iterator it = begin; it != end; ++it)
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{
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Complex c(it->real(), it->imag());
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c *= m_nco.nextIQ();
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if (m_interpolatorDistance < 1.0f) // interpolate
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{
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while (!m_interpolator.interpolate(&m_interpolatorDistanceRemain, c, &ci))
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{
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processOneSample(ci);
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m_interpolatorDistanceRemain += m_interpolatorDistance;
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}
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}
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else // decimate (and filter)
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{
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if (m_interpolator.decimate(&m_interpolatorDistanceRemain, c, &ci))
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{
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processOneSample(ci);
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m_interpolatorDistanceRemain += m_interpolatorDistance;
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}
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}
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}
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}
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void FreqScannerSink::processOneSample(Complex &ci)
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{
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ci /= SDR_RX_SCALEF;
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m_fft->in()[m_fftCounter] = ci;
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m_fftCounter++;
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if (m_fftCounter == m_fftSize)
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{
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// Apply windowing function
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m_fftWindow.apply(m_fft->in());
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// Perform FFT
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m_fft->transform();
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// Accumulate voice activity levels on individual FFT (before averaging)
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// This captures sharp formant structure better than averaged spectrum
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int freqCount = m_settings.m_frequencySettings.size();
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if (m_voiceLevelSum.size() != freqCount) {
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m_voiceLevelSum.resize(freqCount);
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m_voiceLevelCount.resize(freqCount);
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m_voiceLevelSum.fill(0.0);
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m_voiceLevelCount.fill(0);
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}
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for (int i = 0; i < freqCount; i++)
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{
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if (m_settings.m_frequencySettings[i].m_enabled)
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{
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qint64 frequency = m_settings.m_frequencySettings[i].m_frequency;
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qint64 startFrequency = m_centerFrequency - m_scannerSampleRate / 2;
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qint64 diff = frequency - startFrequency;
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float binBW = m_scannerSampleRate / (float)m_fftSize;
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if ((diff >= m_scannerSampleRate / 8) && (diff < m_scannerSampleRate * 7 / 8))
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{
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int bin = std::round(diff / binBW);
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int channelBins;
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if (m_settings.m_frequencySettings[i].m_channelBandwidth.isEmpty()) {
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channelBins = m_binsPerChannel;
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} else {
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int channelBW = m_settings.getChannelBandwidth(&m_settings.m_frequencySettings[i]);
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channelBins = m_fftSize / (m_scannerSampleRate / (float)channelBW);
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}
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Real voiceLevel = 0.0;
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if (m_settings.m_voiceSquelchType == FreqScannerSettings::VoiceLsb) {
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voiceLevel = voiceActivityLevel(bin, channelBins, true);
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} else if (m_settings.m_voiceSquelchType == FreqScannerSettings::VoiceUsb) {
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voiceLevel = voiceActivityLevel(bin, channelBins, false);
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}
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if (voiceLevel > 0.0) {
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m_voiceLevelSum[i] += voiceLevel;
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m_voiceLevelCount[i]++;
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}
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}
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}
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}
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// Reorder (so negative frequencies are first) and average
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int halfSize = m_fftSize / 2;
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for (int i = 0; i < halfSize; i++) {
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m_fftAverage.storeAndGetAvg(m_magSq[i], magSq(i + halfSize), i);
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}
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for (int i = 0; i < halfSize; i++) {
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m_fftAverage.storeAndGetAvg(m_magSq[i + halfSize], magSq(i), i + halfSize);
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}
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if (m_fftAverage.nextAverage())
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{
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// Send results to channel
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if (getMessageQueueToChannel() && (m_settings.m_channelBandwidth != 0) && (m_binsPerChannel != 0))
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{
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FreqScanner::MsgScanResult* msg = FreqScanner::MsgScanResult::create(m_fftStartTime);
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QList<FreqScanner::MsgScanResult::ScanResult>& results = msg->getScanResults();
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for (int i = 0; i < m_settings.m_frequencySettings.size(); i++)
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{
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if (m_settings.m_frequencySettings[i].m_enabled)
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{
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qint64 frequency = m_settings.m_frequencySettings[i].m_frequency;
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qint64 startFrequency = m_centerFrequency - m_scannerSampleRate / 2;
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qint64 diff = frequency - startFrequency;
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float binBW = m_scannerSampleRate / (float)m_fftSize;
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// Ignore results in upper and lower 12.5%, as there may be aliasing here from half-band filters
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if ((diff >= m_scannerSampleRate / 8) && (diff < m_scannerSampleRate * 7 / 8))
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{
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int bin = std::round(diff / binBW); // Bin corresponding to the frequency
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int channelBins; // Number of bins in the channel containing the frequency.
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// This is either the default (m_binsPerChannel)
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// or calculated based on the channel bandwidth if specified in settings for this frequency
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if (m_settings.m_frequencySettings[i].m_channelBandwidth.isEmpty())
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{
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channelBins = m_binsPerChannel;
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}
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else
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{
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int channelBW = m_settings.getChannelBandwidth(&m_settings.m_frequencySettings[i]);
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channelBins = m_fftSize / (m_scannerSampleRate / (float)channelBW);
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}
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// Calculate power at that frequency
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Real power;
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if (m_settings.m_measurement == FreqScannerSettings::PEAK) {
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power = peakPower(bin, channelBins);
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} else {
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power = totalPower(bin, channelBins);
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}
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// Use averaged voice activity level from individual FFTs
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Real voiceLevel = 0.0;
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if ((m_settings.m_voiceSquelchType == FreqScannerSettings::VoiceLsb ||
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m_settings.m_voiceSquelchType == FreqScannerSettings::VoiceUsb) &&
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m_voiceLevelCount[i] > 0) {
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voiceLevel = m_voiceLevelSum[i] / m_voiceLevelCount[i];
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}
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//qDebug() << "startFrequency:" << startFrequency << "m_scannerSampleRate:" << m_scannerSampleRate << "m_centerFrequency:" << m_centerFrequency << "frequency" << frequency << "bin" << bin << "power" << power << "voiceLevel" << voiceLevel;
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FreqScanner::MsgScanResult::ScanResult result = {frequency, power, voiceLevel};
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results.append(result);
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}
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}
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}
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getMessageQueueToChannel()->push(msg);
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}
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m_averageCount = 0;
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m_fftStartTime = QDateTime::currentDateTime();
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// Reset voice level accumulators for next averaging period
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m_voiceLevelSum.fill(0.0);
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m_voiceLevelCount.fill(0);
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}
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m_fftCounter = 0;
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}
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}
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// Calculate total power in a channel containing the specified bin (i.e. sums adjacent bins in the same channel)
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Real FreqScannerSink::totalPower(int bin, int channelBins) const
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{
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// Skip bin between halfway between channels
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// Then skip first and last bins, to avoid spectral leakage (particularly at DC)
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int startBin = bin - channelBins / 2 + 1 + 1;
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Real magSqSum = 0.0f;
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for (int i = 0; i < channelBins - 2 - 1; i++) {
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int idx = startBin + i;
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if ((idx < 0) || (idx >= m_fftSize)) {
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continue;
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}
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magSqSum += m_magSq[idx];
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}
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Real db = CalcDb::dbPower(magSqSum);
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return db;
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}
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// Calculate peak power in a channel containing the specified bin
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Real FreqScannerSink::peakPower(int bin, int channelBins) const
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{
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// Skip bin between halfway between channels
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// Then skip first and last bins, to avoid spectral leakage (particularly at DC)
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int startBin = bin - channelBins/2 + 1 + 1;
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Real maxMagSq = std::numeric_limits<Real>::min();
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for (int i = 0; i < channelBins - 2 - 1; i++)
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{
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int idx = startBin + i;
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if ((idx < 0) || (idx >= m_fftSize)) {
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continue;
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}
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//qDebug() << "idx:" << idx << "power:" << CalcDb::dbPower(m_magSq[idx]);
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maxMagSq = std::max(maxMagSq, m_magSq[idx]);
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}
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Real db = CalcDb::dbPower(maxMagSq);
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return db;
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}
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Real FreqScannerSink::magSq(int bin) const
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{
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Complex c = m_fft->out()[bin];
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Real v = c.real() * c.real() + c.imag() * c.imag();
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Real magsq = v / (m_fftSize * m_fftSize);
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return magsq;
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}
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// Compute magSq from raw FFT output with reordering (negative frequencies first)
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Real FreqScannerSink::magSqFromRawFFT(int bin) const
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{
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// m_magSq is reordered: negative freqs first, then positive
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// m_fft->out() is in standard FFT order: DC, positive freqs, negative freqs
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int halfSize = m_fftSize / 2;
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int fftBin;
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if (bin < halfSize) {
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// Negative frequencies: map to second half of FFT output
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fftBin = bin + halfSize;
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} else {
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// Positive frequencies: map to first half of FFT output
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fftBin = bin - halfSize;
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}
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return magSq(fftBin);
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}
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void FreqScannerSink::applyChannelSettings(int channelSampleRate, int channelFrequencyOffset, int scannerSampleRate, int fftSize, int binsPerChannel, bool force)
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{
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qDebug() << "FreqScannerSink::applyChannelSettings:"
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<< " channelSampleRate: " << channelSampleRate
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<< " channelFrequencyOffset: " << channelFrequencyOffset
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<< " scannerSampleRate: " << scannerSampleRate
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<< " fftSize: " << fftSize
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<< " binsPerChannel: " << binsPerChannel;
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if ((m_channelFrequencyOffset != channelFrequencyOffset) ||
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(m_channelSampleRate != channelSampleRate) || force)
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{
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m_nco.setFreq(-channelFrequencyOffset, channelSampleRate);
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}
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if ((m_channelSampleRate != channelSampleRate) || (m_scannerSampleRate != scannerSampleRate) || force)
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{
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m_interpolator.create(16, channelSampleRate, scannerSampleRate / 2.2); // Filter potential aliasing resulting from half-band filters
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m_interpolatorDistance = (Real) channelSampleRate / (Real)scannerSampleRate;
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m_interpolatorDistanceRemain = m_interpolatorDistance;
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}
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if ((m_fftSize != fftSize) || force)
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{
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FFTFactory* fftFactory = DSPEngine::instance()->getFFTFactory();
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if (m_fftSequence >= 0) {
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fftFactory->releaseEngine(fftSize, false, m_fftSequence);
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}
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m_fftSequence = fftFactory->getEngine(fftSize, false, &m_fft);
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m_fftCounter = 0;
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m_fftStartTime = QDateTime::currentDateTime();
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m_fftWindow.create(FFTWindow::Hanning, fftSize);
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int averages = m_settings.m_scanTime * scannerSampleRate / 2 / fftSize;
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m_fftAverage.resize(fftSize, averages);
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m_magSq.resize(fftSize);
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// Resize voice level accumulators to match frequency count
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int freqCount = m_settings.m_frequencySettings.size();
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m_voiceLevelSum.resize(freqCount);
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m_voiceLevelCount.resize(freqCount);
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m_voiceLevelSum.fill(0.0);
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m_voiceLevelCount.fill(0);
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}
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m_channelSampleRate = channelSampleRate;
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m_channelFrequencyOffset = channelFrequencyOffset;
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m_scannerSampleRate = scannerSampleRate;
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m_fftSize = fftSize;
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m_binsPerChannel = binsPerChannel;
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}
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void FreqScannerSink::applySettings(const FreqScannerSettings& settings, const QStringList& settingsKeys, bool force)
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{
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qDebug() << "FreqScannerSink::applySettings:"
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<< settings.getDebugString(settingsKeys, force)
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<< " force: " << force;
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if (settingsKeys.contains("scanTime") || force)
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{
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int averages = settings.m_scanTime * m_scannerSampleRate / 2 / m_fftSize;
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m_fftAverage.resize(m_fftSize, averages);
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}
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if (force) {
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m_settings = settings;
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} else {
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m_settings.applySettings(settingsKeys, settings);
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}
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}
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// Voice activity detection for SSB signals
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// Detects voice by looking for formant-like structure (broad spectral peaks)
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// Returns a value from 0.0 (no voice) to 1.0 (strong voice signature)
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Real FreqScannerSink::voiceActivityLevel(int bin, int channelBins, bool isLSB) const
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{
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// Voice band in SSB is typically 100-3000 Hz from carrier
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// We look for 2-4 formant peaks with bandwidth 50-200 Hz each
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int startBin = bin - channelBins / 2 + 1;
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int endBin = startBin + channelBins - 1;
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if (startBin < 0 || endBin >= m_fftSize) {
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return 0.0;
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}
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// Calculate bin bandwidth in Hz
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float binBW = m_scannerSampleRate / (float)m_fftSize;
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// For LSB, spectrum is reversed - flip the search direction
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int step = isLSB ? -1 : 1;
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int searchStart = isLSB ? endBin : startBin;
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int searchEnd = isLSB ? startBin : endBin;
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// Find peaks above noise floor
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QVector<int> peakBins;
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QVector<Real> peakMags;
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// Calculate average noise floor from raw FFT
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Real noiseFloor = 0.0;
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int noiseCount = 0;
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for (int i = startBin; i <= endBin; i++) {
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noiseFloor += magSqFromRawFFT(i);
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noiseCount++;
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}
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noiseFloor = (noiseCount > 0) ? (noiseFloor / noiseCount) : 1e-12;
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Real threshold = noiseFloor * 3.0; // 4.77 dB above noise
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// Simple peak detection using raw FFT data
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int i = searchStart;
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while ((isLSB && i >= searchEnd) || (!isLSB && i <= searchEnd))
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{
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Real binMagSq = magSqFromRawFFT(i);
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if (binMagSq > threshold)
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{
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// Found potential peak start
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Real peakMag = binMagSq;
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int peakBin = i;
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// Find local maximum
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i += step;
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while ((isLSB && i >= searchEnd) || (!isLSB && i <= searchEnd))
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{
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Real nextMagSq = magSqFromRawFFT(i);
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if (nextMagSq > peakMag) {
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peakMag = nextMagSq;
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peakBin = i;
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i += step;
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} else if (nextMagSq > threshold) {
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i += step;
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} else {
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break; // Peak ended
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}
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}
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// Calculate frequency offset from carrier
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// For USB: carrier is at startBin, voice extends upward
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// For LSB: carrier is at endBin, voice extends downward
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int carrierBin = isLSB ? endBin : startBin;
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float freqOffset = std::abs(peakBin - carrierBin) * binBW;
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// Only include peaks within SSB voice bandwidth (0-3000 Hz from carrier)
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if (freqOffset <= 3000.0) {
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peakBins.append(peakBin);
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peakMags.append(peakMag);
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}
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}
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i += step;
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}
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if (peakBins.size() < 2) {
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return 0.0; // Need at least 2 peaks for voice
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}
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// Measure peak bandwidths
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int broadPeakCount = 0;
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for (int p = 0; p < peakBins.size(); p++)
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{
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int peakBin = peakBins[p];
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Real peakMag = peakMags[p];
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Real halfPower = peakMag * 0.5; // 3dB point
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// Measure bandwidth at half power (-3dB)
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int bwCount = 1; // Peak bin itself
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// Search left
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for (int j = peakBin - 1; j >= startBin; j--) {
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if (magSqFromRawFFT(j) > halfPower) {
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bwCount++;
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} else {
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break;
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}
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}
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// Search right
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for (int j = peakBin + 1; j <= endBin; j++) {
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if (magSqFromRawFFT(j) > halfPower) {
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bwCount++;
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} else {
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break;
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}
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}
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float bandwidth = bwCount * binBW;
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// Voice formants are typically 50-200 Hz wide
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// CW signals are <50 Hz wide
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if (bandwidth >= 50.0 && bandwidth <= 200.0) {
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broadPeakCount++;
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}
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}
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// Check formant spacing (voice formants are typically 500-1500 Hz apart)
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bool goodSpacing = false;
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if (broadPeakCount >= 2 && peakBins.size() >= 2)
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{
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for (int p = 0; p < peakBins.size() - 1; p++)
|
|
{
|
|
int spacing = std::abs(peakBins[p + 1] - peakBins[p]);
|
|
float spacingHz = spacing * binBW;
|
|
if (spacingHz >= 400.0 && spacingHz <= 1800.0) {
|
|
goodSpacing = true;
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
// Calculate voice activity score
|
|
// 2-4 broad peaks with good spacing = strong voice signature
|
|
float score = 0.0;
|
|
|
|
if (broadPeakCount >= 2)
|
|
{
|
|
// Detect fundamental frequency (f0) by looking for harmonic structure
|
|
// Voice has harmonics at f0, 2*f0, 3*f0, etc. with formants modulating them
|
|
// Typical f0: male 85-180 Hz, female 165-255 Hz
|
|
int carrierBin = isLSB ? endBin : startBin;
|
|
|
|
// Try different f0 candidates in typical voice range (80-300 Hz)
|
|
int maxHarmonics = 0;
|
|
|
|
for (int f0Hz = 80; f0Hz <= 300; f0Hz += 10)
|
|
{
|
|
int f0Bins = (int)(f0Hz / binBW);
|
|
int harmonicCount = 0;
|
|
|
|
// Check for harmonics up to 3000 Hz (SSB bandwidth limit)
|
|
for (int h = 1; h <= 10; h++)
|
|
{
|
|
int harmonicBin = carrierBin + (isLSB ? -1 : 1) * (h * f0Bins);
|
|
|
|
// Check if any detected peak is near this harmonic (within ±30 Hz tolerance)
|
|
int tolerance = (int)(30.0 / binBW);
|
|
for (int p = 0; p < peakBins.size(); p++)
|
|
{
|
|
if (std::abs(peakBins[p] - harmonicBin) <= tolerance)
|
|
{
|
|
harmonicCount++;
|
|
break;
|
|
}
|
|
}
|
|
|
|
// Stop checking beyond 3 kHz
|
|
if (h * f0Hz > 3000) {
|
|
break;
|
|
}
|
|
}
|
|
|
|
if (harmonicCount > maxHarmonics)
|
|
{
|
|
maxHarmonics = harmonicCount;
|
|
}
|
|
}
|
|
|
|
// Need at least 3 harmonics aligned to confirm voice pitch structure
|
|
// If mistuned by 1 kHz, formants won't align with any harmonic series
|
|
if (maxHarmonics < 3) {
|
|
return 0.0;
|
|
}
|
|
|
|
// Base score from number of broad peaks
|
|
score = std::min(broadPeakCount / 4.0f, 1.0f);
|
|
|
|
// Boost if spacing is good
|
|
if (goodSpacing) {
|
|
score = std::min(score * 1.5f, 1.0f);
|
|
}
|
|
|
|
// Boost if strong harmonic structure (4+ harmonics)
|
|
if (maxHarmonics >= 4) {
|
|
score = std::min(score * 1.2f, 1.0f);
|
|
}
|
|
|
|
// Penalize if too many narrow peaks (likely CW or noise)
|
|
// => This condition is ALWAYS true as there are always many more peaks than broad peaks
|
|
// int narrowPeakCount = peakBins.size() - broadPeakCount;
|
|
// if (narrowPeakCount > broadPeakCount) {
|
|
// score *= 0.5;
|
|
// }
|
|
|
|
// Just strongly penalize if there are no broad peaks at all
|
|
if (broadPeakCount == 0) {
|
|
score *= 0.1;
|
|
}
|
|
}
|
|
|
|
return score;
|
|
}
|