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

2018 ◽  
Vol 38 (5) ◽  
pp. 2387-2401
Author(s):  
Jin Li ◽  
Da-Zheng Feng ◽  
Bingbing Li ◽  
Weike Nie
Keyword(s):  
Maximum Likelihood ◽  
Communication Systems ◽  
Impulsive Noise ◽  
Blind Equalization ◽  
Maximum Likelihood Algorithm

A Novel Precoding and Impulsive Noise Mitigation Scheme for MIMO Power Line Communication Systems

2019 ◽  
Vol 13 (1) ◽  
pp. 6-17 ◽  
Author(s):  
Yuwen Qian ◽  
Xiangwei Zhou ◽  
Jun Li ◽  
Feng Shu ◽  
Dushantha Nalin K. Jayakody
Keyword(s):  
Communication Systems ◽  
Impulsive Noise ◽  
Power Line ◽  
Power Line Communication ◽  
Noise Mitigation

scholarly journals Spectrum Sensing Based on Nonparametric Autocorrelation in Wireless Communication Systems under Alpha Stable Noise

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Riqing Chen ◽  
Jun Wang ◽  
Ruiquan Lin ◽  
Xiangning Zhao
Keyword(s):  
Information Systems ◽  
Cognitive Radio ◽  
Wireless Communication ◽  
Spectrum Sensing ◽  
Communication Systems ◽  
Impulsive Noise ◽  
Wireless Communication Systems ◽  
Core Technology ◽  
Key Steps ◽  
Stable Noise

Cognitive radio is regarded as a core technology to support wireless information systems. Spectrum sensing is one of the key steps to achieve cognitive radio technology. To address this problem in the presence of Alpha stable noise in wireless communication systems, we propose a nonparametric autocorrelation method, which takes advantages of the characteristics of signal autocorrelation and noise nonstationarity. The autocorrelated signal is distinguished from Alpha stable noise. As a result, the proposed method is immune from noise uncertainty. Simulation results show the validity of the proposed method under Alpha stable noise, for example, impulsive noise in wireless information systems.

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