Abstract
A blind MMSE equalizer based on linear prediction is presented in this paper. It can directly equalize the channel from the fractionally sampled observations without performing channel identification. In addition, it can be implemented efficiently using the RLS algorithm. Simulation results show that the blind MMSE equalizer has smaller mean-square error of symbol estimation than the prediction-based zero-forcing equalizer1. © 2004 IEEE.
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CITATION STYLE
Zhang, Z., Zhang, L., & Shui, P. (2004). Fractionally spaced equalizer based on multichannel linear prediction. In Proceedings of the IEEE 6th Circuits and Systems Symposium on Emerging Technologies: Frontiers of Mobile and Wireless Communication (Vol. 2, pp. 393–396). https://doi.org/10.1109/casset.2004.1321904
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