Channel Estimation in Frequency Domain Using Least Mean Square (LMS) Algorithm

Linear Channel Estimation in Frequency Domain Using Least Mean Square (LMS) Algorithm
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Mise à jour 7 jan. 2018

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In this submission I presented a method to estimate a linear channel in frequency domain using a least mean square (LMS) algorithm. A random input signal of length 'N' is chosen which then modulated using the (PSK/QAM) modulation schemes (depends on the user selection). The program also shows the estimated impulse response, input and output of the channel.

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Shujaat Khan (2024). Channel Estimation in Frequency Domain Using Least Mean Square (LMS) Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/63347-channel-estimation-in-frequency-domain-using-least-mean-square-lms-algorithm), MATLAB Central File Exchange. Récupéré le .

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Channel_Estimation_Using_LMS_in_Freq/

Version Publié le Notes de version
1.0.0.0

- added to watchlist
- Monte Carlo simulations