Improved detection algorithm for MIMO wireless communication system based on chase detector

Authors:
Li Liu;Jinkuan Wang;Dongmei Yan;Fulai Liu
Affiliations:
School of Information Science & Engineering, Northeastern University, Liaoning, China;School of Information Science & Engineering, Northeastern University, Liaoning, China;School of Information Science & Engineering, Northeastern University, Liaoning, China;Engineering Optimization and Smart Antenna Institute, Northeastern University at Qinhuangdao, Hebei, China
Venue:
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
Year:
2012

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Abstract

In order to get better trade-off between detection performance and complexity in multiple-input multiple-output (MIMO) wireless communication system, an improved detection algorithm based on Chase detector was presented here. Original Chase detector was combined of a list detector followed by parallel banks of V-BLAST sub-detectors. There was error propagation in this algorithm and the complexity was much high. The order of symbol detection was becoming critical because of serial detection in Chase detector. So an improved detection algorithm for reducing error propagation was proposed. Sorted QR decomposition and partial Maximum likelihood detection were performed firstly to create candidate list in order to decrease error in the first step. Parallel detections were used in sub detectors with improved QRD-M to improve the bit error performance with lower complexity further more. The proposed algorithm could obtain proper trade-off between complexity and performance, and simulation experiment results show its validity.