MPI analysis, work on DC tracking
This commit is contained in:
Silas Oettinghaus
@@ -1,4 +1,4 @@
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function [ffe_results] = ffe(eq_, M, rx_signal, tx_symbols, tx_bits, options)
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function [ffe_results,eq_signal_sd] = ffe(eq_, M, rx_signal, tx_symbols, tx_bits, options)
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% FFE Processes signals through FFE equalizer
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%
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% Inputs:
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@@ -20,22 +20,23 @@ function output = mpi_recipe_dev(Scpe_sig_raw, Symbols, Tx_bits, options)
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"mode", "auto", ...
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"debug_plots", options.debug_plots);
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mu_dc = 0;%1e-5;
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eq_settings = { ...
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"epochs_tr", 5, ...
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"epochs_dd", 5, ...
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"len_tr", 4096*2, ...
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"mu_dd",0.02, ...
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"mu_tr",0.2, ...
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"len_tr", 4096, ...
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"mu_tr",0.04, ...
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"mu_dd",0.012, ...
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"mu_dc", 0.012, ...
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"adaptive_dc_enabled", 0, ...
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"order", 25, ...
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"sps", 2, ...
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"decide", 0, ...
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"optmize_mus", 1, ...
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"optmize_mus", 0, ...
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"dd_mode", 1, ...
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"adaption_technique", "nlms", ...
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"mu_dc", mu_dc};
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"plot_mu_optimization", options.debug_plots,...
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"save_debug",true};
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eq_ffe = FFE(eq_settings{:});
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@@ -51,7 +52,7 @@ function output = mpi_recipe_dev(Scpe_sig_raw, Symbols, Tx_bits, options)
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%% NORMAL FFE
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if 1
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ffe_results = ffe(eq_ffe, options.M, Scpe_sig, Symbols, Tx_bits, ...
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[ffe_results,equalized_signal] = ffe(eq_ffe, options.M, Scpe_sig, Symbols, Tx_bits, ...
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"precode_mode", options.duob_mode, ...
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'showAnalysis', options.debug_plots, ...
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"postFFE", [], ...
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@@ -60,8 +61,84 @@ function output = mpi_recipe_dev(Scpe_sig_raw, Symbols, Tx_bits, options)
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ffe_results.metrics.print("description",sprintf('Normal FFE; SIR %d dB',options.dataTable.sir));
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output.ffe_package = ffe_results;
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[~, avg_for_lvl] = showLevelScatter(equalized_signal, Symbols, ...
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"fsym", options.fsym, ...
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"fignum", 401, ...
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"normalize", true);
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output.ffe_debug = struct();
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dbg = eq_ffe.debug_struct;
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smooth_len = 501;
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output.ffe_debug.smoothing_window = smooth_len;
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error_first_s = movmean(dbg.error_first_epoch(:),smooth_len,"omitnan");
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error_last_s = movmean(dbg.error(:),smooth_len,"omitnan");
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mu_dc_eff_s = movmean(dbg.mu_dc_eff(:),smooth_len,"omitnan");
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e_dc_eff_s = movmean(dbg.e_dc_eff(:),smooth_len,"omitnan");
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figure(460); clf;
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tiledlayout(2,1,"TileSpacing","compact","Padding","compact");
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nexttile;
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semilogy(error_first_s + eps,"DisplayName","first epoch");
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hold on;
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semilogy(error_last_s + eps,"DisplayName","last epoch");
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grid on;
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ylabel("error");
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title("FFE debug error");
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legend("Location","best");
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nexttile;hold on
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% plot(eq_sig_mov,"DisplayName","err dc eff");
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plot(mu_dc_eff_s,"DisplayName","mu DC - either fixed or adaptive");
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e_dc_scale = max(abs(e_dc_eff_s),[],"omitnan") + eps;
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plot(-1.*e_dc_eff_s./e_dc_scale,"DisplayName","Inverted DC-tracking; Value that is subtracted during EQ");
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avg_lvl_dc=mean(avg_for_lvl,1,"omitnan");
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plot(avg_lvl_dc./0.01,"DisplayName","Smoothed EQ output signal; calc'd by showLevelScatter");
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grid on;
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xlabel("Symbol");
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ylabel("mu dc eff");
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title("Effective adaptive DC step");
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legend
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inv_dc_track = -e_dc_eff_s(:);
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avg_lvl_dc = avg_lvl_dc(:);
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xcorr_len = min(numel(inv_dc_track),numel(avg_lvl_dc));
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inv_dc_xcorr = inv_dc_track(1:xcorr_len);
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avg_lvl_xcorr = avg_lvl_dc(1:xcorr_len);
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inv_dc_xcorr = fillmissing(inv_dc_xcorr,"linear","EndValues","nearest");
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avg_lvl_xcorr = fillmissing(avg_lvl_xcorr,"linear","EndValues","nearest");
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inv_dc_xcorr = inv_dc_xcorr - mean(inv_dc_xcorr,"omitnan");
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avg_lvl_xcorr = avg_lvl_xcorr - mean(avg_lvl_xcorr,"omitnan");
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[dc_level_xcorr,dc_level_lags] = xcorr(inv_dc_xcorr,avg_lvl_xcorr,"coeff");
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[dc_level_corr,dc_level_idx] = max(dc_level_xcorr);
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dc_level_delay_symbols = dc_level_lags(dc_level_idx);
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output.ffe_debug.dc_level_delay_symbols = dc_level_delay_symbols;
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output.ffe_debug.dc_level_delay_corr = dc_level_corr;
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output.ffe_debug.dc_level_lags = dc_level_lags;
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output.ffe_debug.dc_level_xcorr = dc_level_xcorr;
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fprintf("FFE debug: xcorr(inv DC tracking, avg level) delay=%d symbols, corr=%6.3f\n", ...
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dc_level_delay_symbols,dc_level_corr);
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figure(461); clf;
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plot(dc_level_lags,dc_level_xcorr,"DisplayName","xcorr");
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hold on;
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plot(dc_level_delay_symbols,dc_level_corr,"ro","DisplayName","max");
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grid on;
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xlabel("Lag in symbols");
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ylabel("Correlation coefficient");
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title(sprintf("Delay estimate: %d symbols (corr %.3f)",dc_level_delay_symbols,dc_level_corr));
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legend("Location","best");
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end
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%% MPI Reduction
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if 1
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@@ -1,4 +1,4 @@
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function [symbols_for_lvl, avg_for_lvl, info] = showLevelScatter(rxInput, refSymbols, options)
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function [symbols_for_lvl, avg_for_lvl, xAxisUs, info] = showLevelScatter(rxInput, refSymbols, options)
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%SHOWLEVELSCATTER Plot received samples separated by reference PAM level.
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% Supports plain numeric vectors, Signal objects, synchronized scope cell
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% arrays, and raw unsynchronized Signal input. Raw Signal input is
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