SC-FDE系统中基于压缩感知的海上稀疏多径信道估计方法研究  

Maritime Sparse Multipath Channel Estimation Method for SC-FDE System Based on Compressed Sensing

作　　者：李晓玲[1] 白勇[1] 

机构地区：[1]海南大学信息科学技术学院,海南海口570228

出　　处：《海南大学学报（自然科学版）》2016年第2期131-139,共9页Natural Science Journal of Hainan University

基　　金：国家自然科学基金(61561017;61261024)

摘　　要：首先建立了适用于不同海情级、不同频段的海上船舶间通信时的多径信道模型,针对SC-FDE系统在海上多径信道上的传输,研究了基于压缩感知的稀疏信道估计方法,利用CHU序列作为导频设计了一种Toeplitz循环矩阵作为压缩感知的测量矩阵,结合稀疏度自适应匹配追踪信号重构算法提出了T-SAMP算法,分析比较了T-SAMP、正交匹配追踪算法和最小二乘法3种算法的归一化均方误差和误码率性能.仿真结果表明提出的T-SAMP算法可以在未知稀疏度的情况下对信道进行准确估计,比正交匹配追踪算法更具有实用性,而且获得了比最小二乘法更好的信道估计性能,且需要的导频数量较少,提高了频带利用率.In the study, a theoretical maritime muhipath channel model was constructed; the model was suitable for the different sea states and frequencies for maritime ship communications. Aimed at SC-FDE （Single Carrier- Frequency Domain Equalization） system over maritime multipath channel, a method for sparse channel estima- tion based on compressed sensing was proposed. The Zadoff-Chu sequence was used as the pilot sequence to de- sign a circulate Toeplitz observation matrix, which was used as measure matrix of compressed sensing. Based on Sparsity Adaptive Matching Pursuit algorithm, T-SAMP algorithm was proposed. The NMSE （Normalized Mean Square Error） and BER （ Bit Error Rate ） of T-SAMP, OMP （ Orthogonal Matching Pursuit）, and LS （ Least Squares） algorithms were compared. The simulation results demonstrated that T-SAMP algorithm is more practi- cal than OMP algorithm because of its capability of signal reconstruction without prior information of the sparsity, and the proposed T-SAMP algorithm achieves better performance than the traditional LS algorithm with reduced length of pilot sequence.

关 键 词：单载波频域均衡 海上多径信道 信道估计 压缩感知 正交匹配追踪 T-SAMP算法 

分 类 号：TN911.3[电子电信—通信与信息系统]