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small updates from work pc

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try to implement kalman filter for MPI mitigation
This commit is contained in:
sioe
2024-10-15 10:16:35 +02:00
parent 1540f87850
commit d8b4d6fe7c
12 changed files with 799 additions and 121 deletions
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13
Classes/04_DSP/Equalizer/FFE_adaptive_decision.m
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@@ -55,7 +55,7 @@ classdef FFE_adaptive_decision < handle
end
function [X] = process(obj, X, D)
function [X,Noi] = process(obj, X, D)
% actual processing of the signal (steps 1. - 3.)
% 1 normalize RMS
@@ -80,11 +80,14 @@ classdef FFE_adaptive_decision < handle
else
X.signal = signal;
end
X.fs = D.fs; %change sampling frequency of outgoing signal from fdac e.g. 2 sps to symbol spaced = fsym
lbdesc = [num2str(obj.order),' tap FFE'];
X = X.logbookentry(lbdesc); % append to logbook
Noi = X;
Noi = X - D;
end
function [y,d_hat] = equalize(obj,x,d,mio,epochs,N,training,showviz)
@@ -124,19 +127,21 @@ classdef FFE_adaptive_decision < handle
d_hat(symbol,1) = obj.constellation(symbol_idx);
end
y_buffer(symbol_idx,1) = y(symbol);
y_buffer(symbol_idx,:) = circshift(y_buffer(symbol_idx,:),1);
adap_constellation = mean(y_buffer,2,"omitnan");
delta_y_y(symbol) = y(symbol) - adap_constellation(symbol_idx);
err(symbol) = y(symbol) - d_hat(symbol); % Instantaneous error
if mio ~= 0
obj.e = obj.e - (mio * err(symbol) * U) ; % Weight update rule of LMS
else
normalizationfactor = (U.' * U);
obj.e = obj.e - err(symbol) * U / normalizationfactor; % Weight update rule of NLMS
end
obj.error(epoch,symbol) = err(symbol) * err(symbol)'; % Instantaneous square error