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sdrangel/modemm17/FreqDevEstimator.h
2022-07-27 23:16:22 +02:00

137 lines
3.1 KiB
C++

// Copyright 2021 Rob Riggs <rob@mobilinkd.com>
// All rights reserved.
#pragma once
#include "IirFilter.h"
#include <algorithm>
#include <array>
#include <cmath>
#include <cstddef>
#include "export.h"
namespace modemm17 {
/**
* Deviation and zero-offset estimator.
*
* Accepts samples which are periodically used to update estimates of the
* input signal deviation and zero offset.
*
* Samples must be provided at the ideal sample point (the point with the
* peak bit energy).
*
* Estimates are expected to be updated at each sync word. But they can
* be updated more frequently, such as during the preamble.
*/
class MODEMM17_API FreqDevEstimator
{
public:
using sample_filter_t = BaseIirFilter<3>;
void reset()
{
min_est_ = 0.0f;
max_est_ = 0.0f;
min_var_ = 0.0f;
max_var_ = 0.0f;
min_count_ = 0;
max_count_ = 0;
min_cutoff_ = 0.0f;
max_cutoff_ = 0.0f;
}
void sample(float sample)
{
if (sample < 1.5 * min_est_)
{
min_count_ = 1;
min_est_ = sample;
min_var_ = 0.0f;
min_cutoff_ = min_est_ * 0.666666f;
}
else if (sample < min_cutoff_)
{
min_count_ += 1;
min_est_ += sample;
float var = (min_est_ / min_count_) - sample;
min_var_ += var * var;
}
else if (sample > 1.5f * max_est_)
{
max_count_ = 1;
max_est_ = sample;
max_var_ = 0.0f;
max_cutoff_ = max_est_ * 0.666666f;
}
else if (sample > max_cutoff_)
{
max_count_ += 1;
max_est_ += sample;
float var = (max_est_ / max_count_) - sample;
max_var_ += var * var;
}
}
/**
* Update the estimates for deviation, offset, and EVM (error). Note
* that the estimates for error are using a sloppy implementation for
* calculating variance to reduce the memory requirements. This is
* because this is designed for embedded use.
*/
void update()
{
if (max_count_ < 2 || min_count_ < 2) {
return;
}
float max_ = max_est_ / max_count_;
float min_ = min_est_ / min_count_;
deviation_ = (max_ - min_) / 6.0;
offset_ = dc_filter_(std::max(std::min(max_ + min_, deviation_ * MAX_DC_ERROR), deviation_ * -MAX_DC_ERROR));
error_ = (std::sqrt(max_var_ / (max_count_ - 1)) + std::sqrt(min_var_ / (min_count_ - 1))) * 0.5;
if (deviation_ > 0) {
idev_ = 1.0 / deviation_;
}
min_cutoff_ = offset_ - deviation_ * 2;
max_cutoff_ = offset_ + deviation_ * 2;
max_est_ = max_;
min_est_ = min_;
max_count_ = 1;
min_count_ = 1;
max_var_ = 0.0f;
min_var_ = 0.0f;
}
float deviation() const { return deviation_; }
float offset() const { return offset_; }
float error() const { return error_; }
float idev() const { return idev_; }
private:
// IIR with Nyquist of 1/4.
static const std::array<float, 3> dc_b;
static const std::array<float, 3> dc_a;
static const float MAX_DC_ERROR;
float min_est_ = 0.0f;
float max_est_ = 0.0f;
float min_cutoff_ = 0.0f;
float max_cutoff_ = 0.0f;
float min_var_ = 0.0f;
float max_var_ = 0.0f;
size_t min_count_ = 0;
size_t max_count_ = 0;
float deviation_ = 0.0f;
float offset_ = 0.0f;
float error_ = 0.0f;
float idev_ = 1.0f;
sample_filter_t dc_filter_{dc_b, dc_a};
};
} // modemm17