基于压缩感知的FBMC/OQAM系统信道估计方法

doi:10.11959/j.issn.1000-436x.2019239

摘要/Abstract

摘要：

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。

关键词: FBMC/OQAM, 压缩感知, Tanimoto系数, 弱选择, 正则化

Abstract:

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.

Key words: FBMC/OQAM, compressive sensing, Tanimoto coefficient, selection weak strategy, regularization

中图分类号:

TN929.5

袁伟娜,严秋. 基于压缩感知的FBMC/OQAM系统信道估计方法[J]. 通信学报, 2019, 40(12): 98-104.

Weina YUAN,Qiu YAN. Channel estimation method based on compressive sensing for FBMC/OQAM system[J]. Journal on Communications, 2019, 40(12): 98-104.

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多径	时延分布/ns	能量分布/dB
1	0	0
2	3	–7
3	8	–15
4	11	–22
5	13	–24
6	21	–19

稀疏信道重构算法	平均运行时间/s
LS	0.017 505
OMP	0.013 738
ROMP	0.024 883
SWOMP	0.041 331
ARCoSaMP	0.055 955
T-SWROMP	0.025 933