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In this code, the BER performance of a system which uses sparse channel estimation is compared with a system which uses LSE channel estimation. It is shown that using sparse technique improves the performance of the system
In order to run this code you have to install the cvx from the following web page :
http://www.stanford.edu/~boyd/software.html
cvx is a tool for convex optimization problems. To install the cvx simply download it and save the unzip folder in the MATLAB working directory, and from the unzip folder run cvx_setup.m. Then, you can run this mfile.
Cite As
Hamid Ramezani (2026). OFDM Sparse Channel estimation (https://au.mathworks.com/matlabcentral/fileexchange/39457-ofdm-sparse-channel-estimation), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (3.09 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
