Abstract
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.
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