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Simulation preps for high speed.

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This commit is contained in:
Silas Oettinghaus
2025-11-14 11:45:13 +01:00
parent 0080cb2264
commit 888cbbd23e
9 changed files with 384 additions and 535 deletions
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55
Functions/EQ_structures/ml_mlse.m
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@@ -44,31 +44,35 @@ try
end
ml_mlse_results.config = Equalizerstruct();
eq_small = strip_eq(eq_, 10);
json_str = jsonencode(eq_small);
ml_mlse_results.config.eq = jsonencode(eq_);
ml_mlse_results.config.equalizer_structure = int32(equalizer_structure.ml_mlse);
ml_mlse_results.config.comment = 'function: ML-based MLSE';
ml_mlse_results.metrics = Metricstruct;
ml_mlse_results.metrics.result_id = NaN;
ml_mlse_results.metrics.run_id = NaN;
ml_mlse_results.metrics.eqParam_id = NaN;
% ml_mlse_results.metrics.result_id = NaN;
% ml_mlse_results.metrics.run_id = NaN;
% ml_mlse_results.metrics.eqParam_id = NaN;
ml_mlse_results.metrics.date_of_processing = datetime('now');
ml_mlse_results.metrics.BER = ber;
ml_mlse_results.metrics.numBits = bits;
ml_mlse_results.metrics.numBitErr = errors;
ml_mlse_results.metrics.BER_precoded = ber_precoded;
ml_mlse_results.metrics.numBitErr_precoded = errors_precoded;
ml_mlse_results.metrics.SNR = NaN;
ml_mlse_results.metrics.SNR_level = NaN;
ml_mlse_results.metrics.STD = NaN;
ml_mlse_results.metrics.STD_level = NaN;
ml_mlse_results.metrics.STDrx = NaN;
ml_mlse_results.metrics.STDrx_level = NaN;
ml_mlse_results.metrics.GMI = NaN;
ml_mlse_results.metrics.AIR = NaN;
ml_mlse_results.metrics.EVM = NaN;
ml_mlse_results.metrics.EVM_level = NaN;
ml_mlse_results.metrics.Alpha = NaN;
% ml_mlse_results.metrics.SNR = NaN;
% ml_mlse_results.metrics.SNR_level = NaN;
% ml_mlse_results.metrics.STD = NaN;
% ml_mlse_results.metrics.STD_level = NaN;
% ml_mlse_results.metrics.STDrx = NaN;
% ml_mlse_results.metrics.STDrx_level = NaN;
% ml_mlse_results.metrics.GMI = NaN;
% ml_mlse_results.metrics.AIR = NaN;
% ml_mlse_results.metrics.EVM = NaN;
% ml_mlse_results.metrics.EVM_level = NaN;
% ml_mlse_results.metrics.Alpha = NaN;
end
@@ -111,3 +115,26 @@ switch precode_mode
[bits, errors, ber, error_pos] = calc_ber(rx_bits.signal, tx_bits_demapped.signal, "skip_front", 30000, "skip_end", 150, "returnErrorLocation", 1);
end
end
function eq_out = strip_eq(eq_, max_elems)
% strip_eq removes all large fields from the ML_MLSE object
% eq_out = strip_eq(eq_, max_elems)
% max_elems ... maximum number of elements to keep (default = 10)
if nargin < 2
max_elems = 10; % default threshold
end
props = properties(eq_);
for i = 1:numel(props)
val = eq_.(props{i});
if ~isempty(val)
% Count total number of elements
if numel(val) > max_elems
eq_.(props{i}) = [];
end
end
end
eq_out = eq_;
end