A new Selective Signal Detection based on Iterative Joint Channel Estimation in MIMO-OFDM Systems
One key characteristic of mobile wireless communication is the typically rapid and significant variations in the instantaneous channel conditions. So, precise channel estimation and signal detection algorithm with low computational complexity at the receiver is very important and necessary. In this paper, linear Minimum Mean Square Error (MMSE) and Maximum Likelihood (ML) detection methods in MIMO-OFDM systems are analyzed, and then we propose a novel Selective Signal Detection (SSD) approach based on Iterative Joint Channel Estimation and Signal Detection (IJCESD) algorithm. Simulation results show that the new approach can improve the system BER performance at low SNR, but requires less complexity.
MIMO-OFDM selective signal detection(SSD) channel estimation IJCESD BER
Liang Dai Xuekang Sun Hao Chen
Beijing University of Posts and Telecommunications Beijing, 100876, China
国际会议
北京
英文
1-5
2010-06-25(万方平台首次上网日期,不代表论文的发表时间)