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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Updated 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.

Cite As

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. Retrieved .

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Created with R2014b
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Channel_Estimation_Using_LMS_in_Freq/

Version Published Release Notes
1.0.0.0

- added to watchlist
- Monte Carlo simulations