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Improved Decision-Directed Recursive Least Squares MIMO Channel Tracking

This paper presents a comparative study of different Recursive Least Squares algorithms to track a Rayleigh flat fading MIMO channel. We investigate the effect of the initialization and training of these algorithms on their performance. We propose a new training scheme which can deliver a lower mean squared estimation error without loss of bandwidth efficiency.