粒子滤波的MIMO-OFDM空频分层检测算法

针对BLAST系统应用环境中信道的频率选择性和测量噪声的非高斯性,建立了非高斯噪声环境下BLAST-OFDM系统的观测方程;通过对信道矩阵的QR分解将静态BLAST-OFDM系统的观测方程转化为空域的动态状态空间模型,并用粒子滤波进行空频分层检测;充分利用数字调制的有限字符特性,选择最优建议分布来产生粒子和更新权值,并与目前常用的抗误差传播算法相结合提出了一种新的空时分层检测算法。仿真结果表明了该算法的有效性。

A New Layered Space-Frequency Detection Algorithm for MIMO-OFDM System Based on Particle Filter

In this paper, a new observation function of BLAST-OFDM system under non-gaussian noise is proposed, which is used for frequency selective fading channels and non-gaussian noise in application environment of BLAST system. With QR decomposition of the channel matrix, the static observation function of BLAST-OFDM system is transformed into a dynamic state space model, and then the particle filter is used for space-frequency layered detection. Making the full use of the finite alphabet of the digital modulated communication signal, the optimal proposal distribution can be chosen to produce particle and update the weight. When incorporated with current method of reducing error propagation, a new space-time layered detection algorithm is proposed. Simulation result shows the validity of the proposed algorithm.