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<p>Algorithms for blind equalization and data recovery of orthogonal frequency-division multiplexed (OFDM) signals  transmitted through fading channels are implemented and simulated in this thesis. The channel is estimated without  knowledge of the transmitted sequence (i.e., blindly) using a least mean squares (LMS) adaptive filter and filter bank  precoders. This method was used to estimate channel characteristics using both binary and quadrature phase-shift  keying signals. Additionally, the method was analyzed for robustness with a poor initial estimate of channel  characteristics, with the addition of white Gaussian noise to the signal, and with non-stationary channel conditions.  In addition, it is shown that the proposed method is particularly suited in situations with deep fading channels, where some of the subcarriers have a very low SNR.  Simulations for both aspects of this thesis were conducted using MATLAB, and the results are presented.
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<br>Subjects: Orthogonal frequency division multiplexing</div>
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Stranges, Anthony G.</div>
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