基于向量序列谐波恢复的缓时变频率选择性MIMO无线信道的估计方法

The Estimation of Slow Time-Varying Frequency-Selective MIMO Wireless Channel Based on Harmonic Retrieval of Vector Sequence

该文研究缓时变频率选择性MIMO无线信道谐波拟合模型参数的估计问题,提出基于向量序列谐波恢复及非线性约束最小二乘法的非盲信道估计方法。与以往采用chirp序列作为训练信号的方法不同,该文采用全1序列作为训练信号。仿真结果表明,与采用chirp序列作为训练信号的方法相比,此方法的训练信号容易获得,并且在相同信噪比条件下具有更好的估计精度。

This paper studies the estimation of slow time-varying frequency-selective MIMO wireless channel, which is described by the parameter of harmonic fitting model and presents a method of channel estimation based on harmonic retrieval of vector sequence and LS method with nonlinear constraints using training sequence. The method applied in this paper uses the identic sequence instead of chirp sequence. The simulation shows that this method has more simple training sequence and better estimation performance with same SNR in contrast to the method applying chirp sequence as training signals.