多输入多输出信道估计算法的仿真研究

摘要

研究无线通信,提高数据传输率,是无线通信领域关心的问题.信道估计精度对系统性能有着直接的影响.由于无线通信信道具有时变性,传统信道估计算法很难对时变信道进行准确估计,为了提高多输入多输出信道估计精度,提出一种采用基于粒子滤波的MIMO-OFDM时变信道估计方法.算法首先采用时变信道频率响应的状态空间方程将时变信道估计问题转化为序贯状态估计问题,然后通过粒子滤波算法对序贯状态估计问题进行求解,得到当前时刻的信道状态.仿真结果表明,与传统信道估计方法比较,不仅降低估计均方误差和误码率,估计精度更高,而且很好地提高了信道通信性能.%MIMO - OFDM is an important field of wireless communication technology, and the channel estimation accuracy has direct influence on system performance.Because the traditional channel estimation algorithm is hard to be adapted for the time - varying channel model, a MIMO - OFDM time - varying channel estimation method based on particle filter is proposed.Firstly, the algorithm transforms time - varying channel estimation problem into sequenrial state estimation problem based on using frequency response of time - varying channel state space equation.Then through the particle filter algorithm, the sequential state estimation problem is solved.Compared with the tradition channel estimation method, the proposed method has lower mean square error, the estimation accuracy is higher, and the environmental requirements of time - varying channel can be well met.Simulation results show that the proposed method of channel estimation has improved the transmission accuracy and performance of MIMO - OFDM channel.