基于压缩感知的FBMC/OQAM系统信道估计方法

Channel estimation method based on compressive sensing for FBMC/OQAM system

在移动到移动传感网络中,利用无线信道的固有稀疏性,可将FBMC/OQAM系统信道估计作为一个压缩感知问题来研究,以提高系统频带利用率。首先,提出了一种新的基于Tanimoto系数的弱选择正则化正交匹配追踪(T-SWROMP)算法,以提高LS信道估计的精度。然后,分别用结合辅助导频和编码方法的T-SWROMP方法来估计FBMC/OQAM系统中的信道频率响应。仿真结果表明,所提方法比传统的SWOMP方法具有更低的复杂度。此外,其在双选择信道下比传统的OMP、SWOMP和ROMP方法具有更好的BER性能。

In mobile-to-mobile sensor networks,the channel estimation for FBMC/OQAM system can be investigated as a compressive sensing problem to raise frequency spectrum efficiency by exploiting the sparse nature of wireless channels.Firstly,a novel orthogonal matching pursuit algorithm with selection weak strategy and regularization based on Tanimoto coefficient(T-SWROMP)was proposed to improve the accuracy of LS channel estimation.Then,T-SWROMP methods with auxiliary pilot and coding were used to estimate channel frequency response for FBMC/OQAM system.The experimental results demonstrate the proposed method has lower complexity than the traditional SWOMP method.In addition,it achieve best performance among the traditional OMP,SWOMP and ROMP methods under dual-selective channels.