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Here is a simulation based proof highlighting the superiority of the MMSE[Min Mean Sq Error] channel estimator over the LS[Least Sq] estimator.The two parameters of evaluation turn out to be, quite logically, the SER[Symbol Error Rate] and the Mean Square Error.The channel is assumed to be g(t)=delta(t-0.5 Ts)+delta(t-3.5 Ts)
{Fractionally spaced}.
For more information on the theory and formulae used , please do refer to the paper On "Channel Estimation In OFDM systems" By Jan-Jaap van de Beek, Ove Edfors, Magnus Sandell, Sarah Kate wilson and Petr Ola Borjesson In proceedings Of VTC'95 Vol 2 pg.815-819.The two sub folders contain the code for the simulations related to the two parameters , i.e SER and MSE..
Cite As
Vinay Prabhu (2026). LS & MMSE channel estimators for OFDM (https://www.mathworks.com/matlabcentral/fileexchange/11033-ls-mmse-channel-estimators-for-ofdm), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (4.87 KB)
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No License
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 | As rightly pointed out by Yubing Zhang,
|
