Author(s)

Fang Weiwei, Feng Wen, Siping Hu

Corresponding Author

Fang Weiwei

Abstract

In this paper, the MIMO system and multi-user detection theory are firstly described. According to the signal model, the estimation algorithm based on the minimum mean square error criterion and the zero-forcing criterion is analyzed. Based on this theory, the algorithm is combined with the decision feedback and the optimal ranking idea. In this paper, an adaptive length spherical iterative decoding algorithm is proposed to improve the BER performance of the system, which can improve the channel capacity and improve the channel reliability and reduce the bit error rate. Finally, the performance of various algorithms is compared by simulation. The experimental results show that the spherical decoding algorithm has great advantages for wireless communication.

Keywords

Signal Model, Decoding Algorithm, MIMO, Wireless Communication