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

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5 Author(s)
Tan Yun ; Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China ; Xu Wenbo ; He Zhiqiang ; Tian Baoyu
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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.

Published in:

Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on

Date of Conference:

14-16 Sept. 2011