Performance Evaluation of a Data-Derived Iterative Channel Estimator for a COFDM System with Receive Diversity
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چکیده
In this paper a low-complexity data-derived iterative channel estimator is evaluated in a receive diversity system for two and four receive antennas. The performance is shown to almost match the ideal (perfect channel knowledge) case in a low-Doppler environment. At higher Doppler frequencies performance is still good but deviates from the ideal case. A Wiener filter tracking algorithm is proposed that is advantageous at lower Eb/No ranges, however linear tracking is found to be better at higher Eb/No ratios and therefore further improves performance for higher order modulation schemes such as 16-QAM. Keywords—Data derived, Iterative, Channel estimation, COFDM, Receive diversity, Maximal Ratio Combining.
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تاریخ انتشار 2016