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3
votes
1
answer
211
views
LMS algorithm: Training and tracking phase
I'm trying to implement a fractionally spaced equalizer to mitigate the effect of ISI on the signal. The block scheme that I'm following is:
I'm using the LMS algorithm to update the tap weights. … \left( k \right)$ (the output of the equalizer), but I don't understand how this block decides which elements of $y \!\left( k \right)$ to keep and which one to throw away. …
1
vote
1
answer
153
views
Fractionally spaced equalizer - LMS algorithm
I am doing a project in MATLAB about the fractionally spaced equalizer. The method that i have chosen to update the tap weight coefficients is the LMS algorithm. … As it can be seen y(k) is the output of the equalizer. The formulas to calculate the error and then update the tap weights are the following:
for the training phase and
for the tracking phase. …
4
votes
1
answer
232
views
Fractionally spaced equalizer using LMS algorithm
.');
end
Equalizer start
% FSE parameters
tapSpacing = 1/Nc; % Fractional tap spacing
numTaps = L*Nc; % Number of taps
% LMS algorithm parameters
stepSize = 0.01;
% Initialize tap weights
tapWeights …