mirror of
https://github.com/saitohirga/WSJT-X.git
synced 2024-11-24 21:28:41 -05:00
8750631a09
git-svn-id: svn+ssh://svn.code.sf.net/p/wsjt/wsjt/branches/wsjtx@2678 ab8295b8-cf94-4d9e-aec4-7959e3be5d79
66 lines
3.4 KiB
Plaintext
66 lines
3.4 KiB
Plaintext
JT9 is a mode designed for amateur QSOs at MF and LF. The mode uses
|
|
the same 72-bit structured messages as JT65. Error control coding
|
|
(ECC) uses a strong convolutional code with constraint length K=32,
|
|
rate r=1/2, and a zero tail, leading to an encoded message length of
|
|
(72+31)*2 = 206 information-carrying bits. Modulation is 9-FSK: 8
|
|
tones for data, one for synchronization. Sixteen symbol intervals are
|
|
used for synchronization, so a transmission requires a total of 207/3
|
|
+ 16 = 85 channel symbols. Symbol durations tsym are approximately
|
|
(TRperiod-8)/85, where TRperiod is the T/R sequence length in seconds.
|
|
Exact symbol lengths are chosen so that nsps, the number of samples
|
|
per symbol (at 12000 samples per second) is a number with no prime
|
|
factor greater than 7. This choice makes for efficient FFTs. Tone
|
|
spacing of the 9-FSK modulation is df=1/tsym=12000/nsps, equal to the
|
|
keying rate. The total occupied bandwidth is 9*df. The generated
|
|
signal has continuous phase, and there are no key clicks.
|
|
|
|
Parameters of five JT9 sub-modes are summarized in the following
|
|
table, along with S/N thresholds measured by simulation on an AWGN
|
|
channel. Numbers following "JT9-" in the sub-mode names specify the
|
|
T/R sequence length in minutes.
|
|
|
|
--------------------------------------------------------------------------
|
|
Mode nsps nsps2 df tsym BW S/N* Tdec Tfree Factors
|
|
12000 1500 (Hz) (s) (Hz) (dB) (s) (s) of nsps nfft3
|
|
--------------------------------------------------------------------------
|
|
JT9-1 6912 864 1.736 0.58 15.6 -26.9 52.5 7.5 2^8 3^3 2048
|
|
JT9-2 15360 1920 0.781 1.28 7.0 -30.2 112.3 7.7 2^10 3 5 2048
|
|
JT9-5 40960 5120 0.293 3.41 2.6 -34.4 293.6 6.4 2^13 5 6144
|
|
JT9-10 82944 10368 0.145 6.91 1.3 -37.5 591.0 9.0 2^10 3^4 12288
|
|
JT9-30 252000 31500 0.048 21.00 0.4 -42.3 1788.5 11.5 2^5 3^2 5^3 7 32768
|
|
--------------------------------------------------------------------------
|
|
* Noise power measured in a 2500 Hz bandwidth.
|
|
NB: nfft3 might be doubled and used with a sin^2 window.
|
|
|
|
Transmitting
|
|
------------
|
|
1. Source encode the structured message to 72 bits
|
|
2. Apply convolutional ECC (K=32, r=1/2) to yield (72+31)*2 = 206 bits
|
|
3. Interleave to scramble the bit order
|
|
4. Assemble 3-bit groups to make (206+1)/3 = 69 symbols
|
|
5. Gray-code the symbol values
|
|
6. Insert 16 sync symbols ==> 69+16=85 channel symbols, values 0-8
|
|
|
|
|
|
Receiving
|
|
---------
|
|
1. Apply noise blanking with the timf2 method
|
|
2. Filter to 1000 Hz bandwidth and downsample (1/8) to 1500 Hz, saving
|
|
complex data to array c0(2,700,000).
|
|
3. Compute spectra at half-symbol steps. Use for waterfall display
|
|
s(22000) and save in ss(184,22000) and savg(22000) for detecting
|
|
sync vectors.
|
|
4. At time Tdec, find sync vectors in ss(); get approx DF or list of DFs
|
|
5. Do full-length FFT, NFFT1=96*nsps2, zero-padded as required.
|
|
6. For each candidate signal, do inverse FFT of length 1536 (or 3072?).
|
|
This yields 16 complex samples per symbol; sync tone should be
|
|
close to zero frequency.
|
|
7. Use afc65b method to get improved values of DF, DT.
|
|
8. Tweak freq and time offset to 0.
|
|
9. Compute 8-bin spectra of 69 data symbols: ssym(0:7,69). Re-order the
|
|
bins to remove Gray code.
|
|
10. Compute soft symbols for 206 bits (bit 207 is always 0).
|
|
11. Remove interleaving
|
|
12. Pack bits into bytes, send to Fano decoder
|
|
13. If Fano succeeds, remove source encoding and display user message.
|