Blind signal processing for impulsive noise channels

• Published in: Journal of communications and networks 2012, 14(1), , pp.27-33
• Main Authors: KIM, Namyong, BYUN, Hyung-Gi, YOU, Young-Hwan, KWON, Kihyeon
• Format: Article
• Language: English
• Subjects: Applied sciences; Blind equalizers; Blind signal processing; Convergence; Cost function; Detection, estimation, filtering, equalization, prediction; dirac-delta functions; equalization; Exact sciences and technology; impulsive noise; Information, signal and communications theory; Noise measurement; Probability density function; probability density function (PDF) matching; Signal and communications theory; Signal processing algorithms; Signal, noise; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Transmission and modulation (techniques and equipments); 전자/정보통신공학
• ISSN: 1229-2370; 1976-5541
• DOI: 10.1109/JCN.2012.6184548

In this paper, a new blind signal processing scheme for equalization in fading and impulsive-noise channel environments is introduced based on probability density function matching method and a set of Dirac-delta functions. Gaussian kernel of the proposed blind algorithm has the effect of cutting out the outliers on the difference between the desired level values and impulse-infected outputs. And also the proposed algorithm has relatively less sensitivity to channel eigenvalue ratio and has reduced computational complexity compared to the recently introduced correntropy algorithm. According to these characteristics, simulation results show that the proposed blind algorithm produces superior performance in multi-path communication channels corrupted with impulsive noise.