Nonlinear Precoding for Spatial Multiplexing MIMO-OFDM Downlink Systems

摘要：

Considering the error propagation effect and high complexity of vertical bell labs layered space time (VBLAST), a novel nonlinear module algebra precoding algorithm based on geometric mean decomposition(GMD) for VBLAST is proposed in multiple input multiple output orthogonal frequency division multiplexing (MlMO-OFDM) downlink systems, geometric mean decomposition is used for precoding matrix which have the same equivalent noise gain among each subchannel, the nonlinear module algebra TomlinsonHarashima precoding THP is used between sub-carrier channels of OFDM to eliminate interference from other signals at the transmitter, and can eliminate the error propagation effect of layered space-time codes effectively, At the receiver, zero forcing and minimum mean square error criterion are used, and the complexity of the downlink receiver can be reduced. Simulation results show that the proposed algorithm is better than the traditional algorithms.

关键词： multiple input multiple output orthogonal frequ-ency division multiplexing vertical bell labs layered space time geometric mean decomposition

作者: Hongliang Fu Yong Tao Yuan Zhang

作者单位: Institute of Information Science and Engineering Henan University of Technology Zhengzhou, China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 1797-1800

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）