l0-Norm Constraint Fractionally Spaced Dual-Mode Blind Equalization Algorithm for Sparse Multipath Channel

被引：0
作者：
Ma S.-Y. [1 ]
Wang B. [1 ]
Peng H. [1 ]
机构：
[1] Institute of Information Engineering, PLA Information Engineering University, Zhengzhou, 450001, Henan
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2017年 / 45卷 / 09期
关键词：
Blind equalization; Dual-mode; Fractionally spaced; L[!sub]0[!/sub]-norm penalty; Proportionate factor; Sparse multipath channel;
D O I：
10.3969/j.issn.0372-2112.2017.09.035
中图分类号：
学科分类号：
摘要：
A blind equalization approach called l0-norm constraint fractionally spaced sparse adaptive dual-mode algorithm is proposed for multiple phase shift keying (MPSK) signal in deep fading sparse multipath channels. Based on the traditional fractionally spaced dual-mode blind equalization algorithm, and motivated by the sparse adaptive filter theory, a fractionally spaced dual-mode least mean square error cost function with the l0-norm penalty on the equalizer tap coefficients is constructed. Then, the update formula of the tap coefficients is derived according to the gradient descent method. Moreover, the iteration step is updated adaptively by drawing upon the normalized proportionate factor. Theoretical analysis and simulation results show that compared with the sparse blind equalization algorithm based on the threshold, the blind equalization algorithm based on the fractional order norm and the fractionally spaced dual-mode blind equalization algorithm, the proposed algorithm has advantages in increasing the convergence rate and decreasing the residual inter-symbol interference. The presented blind equalization algorithm provides a fast and effective method for receivers to recover transmitted signals in underwater acoustic communication systems. © 2017, Chinese Institute of Electronics. All right reserved.
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页码：2302 / 2307
页数：5
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