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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. …
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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. …
Obsidian's user avatar
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 …
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