A Robust Maximum Likelihood Algorithm for Blind Equalization of Communication Systems Impaired by Impulsive Noise

被引：5
|
作者：
Li, Jin [1 ]
Feng, Da-Zheng [2 ]
Li, Bingbing [1 ]
Nie, Weike [3 ]
机构：
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
[2] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Shaanxi, Peoples R China
[3] Northwest Univ, Sch Informat Sci & Technol, Xian 710027, Shaanxi, Peoples R China
来源：
CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2019年 / 38卷 / 05期
基金：
中国国家自然科学基金;
关键词：
alpha-Stable distribution; Blind equalization; Robust maximum likelihood algorithm; Inter-symbol interference; Constant modulus algorithm; SELF-RECOVERING EQUALIZATION; DOA ESTIMATION;
D O I：
10.1007/s00034-018-0966-6
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
To improve the performance of the blind equalizer (BE) in impulsive noise environments, a robust maximum likelihood algorithm (RMLA) is proposed for the communication systems using quadrature amplitude modulation signals. A novel robust maximum likelihood cost function based on the constant modulus algorithm is constructed to effectively suppress the influence of impulsive noise and ensure the computational stability. Theoretical analysis is presented to illustrate the robustness and good computational stability of the proposed algorithm under the impulsive noise ambient. Moreover, it is proved that the weight vector of the proposed BE can converge stably by LaSalle invariance principle. Simulation results are provided to further confirm the robustness and stability of the proposed RMLA.
引用
收藏
页码：2387 / 2401
页数：15
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