Low-Complexity Channel Tracking in Fast-varying MIMO Environments

In this paper, channel tracking in fast-varying MIMO environments is considered. Firstly, the high-dimension channel vector of each user is decomposed into a semi-static factor load matrix (FLM) and a low-dimension factor coefficient vector (FCV). Thereby, channel tracking is replaced by the infrequent FLM tracking and low-complexity FCV tracking. Secondly, channel variations are represented by local polynomial modeling, based on which a recursive least square (RLS) algorithm with optimal forgetting factor (FF) is proposed. It is verified that the proposed algorithm has higher accuracy, better tracking ability and lower computational complexity than the existing methods.

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