Improved Chase Detection Algorithm Based on SNR Maximum Sorted

Abstract

Multiple-input multiple-output (MIMO) wireless communication systems could increase the spectral efficiency and system performance significantly. Maximum likelihood detection (MLD) algorithm provided the best bit error rate (BER) performance for MIMO communication system. Calculating complexity of MLD increased exponentially with the constellation size and the transmit antenna number. Original Chase detector, with lower calculating complexity, was combined of a list detector followed with some V-BLAST sub-detectors. There were error propagations in this algorithm. The order of signal detection was critical because of serial detection in Chase detector. In order to get better trade-off between detection performance and calculating complexity in MIMO wireless communication system, an improved Chase detection algorithm based on SNR maximum was presented here which could reduce error propagation efficiently. Parallel linear detectors were used in sub detectors to improve the bit error performance with lower complexity further more. The proposed algorithm could obtain proper trade-off between calculating complexity and detection performance, and simulation experiment results show its validity.