MIMO-OFDM channel estimation based on distributed compressed sensing and Kalman filter

MIMO-OFDM technology combines the advantage of MIMO and OFDM and is widely used in high data rate systems. Traditional channel estimation of MIMO-OFDM suffers from a high cost of large number of pilots. In this paper, we presents a method that combines Kalman filter and distributed compressed sensing (DCS), which can achieve much better performance than least square and pure DCS algorithm with less pilots.

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