摘要
针对MIMO OFDM系统中时间、频域双选择性衰落信道的估计问题,分析了信道在时延、多普勒域的稀疏特性,提出了一种基于压缩感知的稀疏信道估计方法。通过修改OMP重构算法的迭代终止条件,得到了一种稀疏度未知条件下的改进的OMP算法(简称为I-OMP算法)。与传统最小二乘法相比,改进的OMP算法可以在使用较少导频的条件下获得较好的信道估计性能;与OMP算法相比,在不需要已知时延-多普勒域稀疏度的条件下,改进的OMP算法能够获得复杂度较低、性能较好的信道估计性能。
To solve the channel estimation problem for time- and frequency-selective fading MIMO OFDM systems, the features of the channel in Delay and Doppler domain are analyzed. A new method of sparse channel estimation based on compressive sensing（CS） is proposed. The Improved OMP（I-OMP） algorithm works in channel of unknown sparse degrees by modifying the condition of termination in iteration in OMP recovery algorithm. Simulations have shown that the I-OMP estimation has much better performance with a few pilots than conventional least square estimation; and compared with Orthogonal Matching Pursuit（OMP） estimation, the I-OMP algorithm can obtain the same good performance steadily, whose complexity is lower, without knowing the sparse degrees of channel in Delay-Doppler domain.
作者
丁远晴
DING Yuan-qing(Department of Investigation, Sichuan Police College, Luzhou Sichuan 646000, Chin)
出处
《通信技术》
2016年第10期1287-1291,共5页
Communications Technology
关键词
正交频分复用
双选择性衰落
压缩感知
正交匹配追踪
信道估计
orthogonal frequency division muhiplexing（OFDM）
double selective fading
compressive sensing（CS）
orthogonal matching pursuit（OMP）
channel estimation
