Title :
MIMO-OFDM channel estimation based on distributed compressed sensing and Kalman filter
Author :
Yun, Tan ; Wenbo, Xu ; Zhiqiang, He ; Baoyu, Tian ; Donghao, Wang
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
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.
Keywords :
Kalman filters; MIMO communication; OFDM modulation; channel estimation; Kalman filter; MIMO-OFDM channel estimation; distributed compressed sensing; high data rate systems; Channel estimation; Compressed sensing; Correlation; Joints; Kalman filters; MIMO; OFDM; Kalman filter; MIMO-OFDM; channel estimation; distributed compressed sensing;
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-0893-0
DOI :
10.1109/ICSPCC.2011.6061583
