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LMS Equalization for mmWave QAM Signals

Version 1.0 (2.16 KB) by Ardavan Rahimian
This code demonstrates the LMS equalization technique for recovering a transmitted QAM signal passed through a simplified 5G channel.
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Updated 25 Apr 2023

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This code demonstrates the use of the least mean squares (LMS) algorithm to perform equalization in a communication system. The code generates a QAM-modulated signal, applies a channel impulse response, adds noise, and carries out LMS equalization to recover the original signal. Equalization is a technique used to mitigate the effects of inter-symbol interference (ISI) caused by the communication channel. In this case, the LMS algorithm is used to adaptively adjust the coefficients of an equalizer to minimize the mean square error between the transmitted and equalized signals.

Cite As

Ardavan Rahimian (2023). LMS Equalization for mmWave QAM Signals (/matlabcentral/fileexchange/128514-lms-equalization-for-mmwave-qam-signals), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2023a
Compatible with any release
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Version Published Release Notes
1.0