Abstract
A pilot symbol assisted modulation (PSAM) based iterative channel estimation method - applied in conjunction with turbo equalization - over time and frequency selective fading channels is proposed. Initial channel estimates are derived from periodic optimal pilot sequences by maximum likelihood (ML) acquisition and Wiener filtering. In the iterative channel estimator, soft decisions from the decoder are used to cancel inter-symbol-interference (ISI) and thus the frequency selective channel is decoupled into multiple flat fading sub-channels. Refined channel estimates of individual multipath taps are obtained independently from each sub-channel which is treated as a flat fading channel. Simulation results using a continuously time-variant channel model show bit error ratio (BER) performance gains and normalized mean squared error (MSE) improvements achieved by the iterative channel estimation scheme over those of the non-iterative scheme for normalized fade rates f/sub d/T/sub s/ = 0.01 and f/sub d/T/sub s/ = 0.005.
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