基于粒子滤波的MIMO-OFDM时变信道半盲估计

提出一种基于粒子滤波的MIMO-OFDM时变信道半盲估计方法。首先，对粒子滤波算法进行改进，通过对采样粒子分布进行局部优化调整，提出一种局部优化粒子滤波算法。然后，将该粒子滤波算法用于MIMO-OFDM时变信道估计。由于该信道估计过程在频域进行，因而无需已知（或估计）多径信道长度。与现有时变信道半盲估计方法相比，本方法具有估计误差低、对非高斯噪声顽健性强等特点，从而有效改善了接收端的符号检测性。计算机仿真结果证明了本方法的有效性。

Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channel

A semi-blind channel estimation method based on the particle filtering was proposed for the MIMO-OFDM wireless communication system.By optimizing the particles distribution locally,the traditional particle filtering algorithm was modified,and a local optimized particle filtering was proposed.This local optimized particle filtering can achieve the low MSE,and improve the precision of the MIMO-OFDM time-varying channel estimation.Since this method was per-formed in frequency domain,it was not necessary to know(or estimate) the length of the channel.Compared with exist-ing approaches,the proposed method was more robust to the non-gauss distribution noise and the detection performance is nearly optimal.The simulation results show the effectiveness of the proposed method.