A novel correntropy based DOA estimation algorithm in impulsive noise environments

• Published in: Signal processing Vol. 104; pp. 346 - 357
• Main Authors: Zhang, Jinfeng, Qiu, Tianshuang, Song, Aimin, Tang, Hong
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.11.2014; Elsevier
• Subjects: Algorithms; Applied sciences; Arrays; Computer simulation; Correntropy; Detection, estimation, filtering, equalization, prediction; Direction of arrival; Exact sciences and technology; Fractional lower order statistics; Impulsive noise; Information, signal and communications theory; Miscellaneous; Monte Carlo methods; Noise; Signal and communications theory; Signal processing; Signal, noise; Statistics; Symmetric alpha-stable process; Telecommunications and information theory; Correntropy; Direction of arrival; Fractional lower order statistics; Impulsive noise; Symmetric alpha-stable process; Performance evaluation; Monte Carlo method; Parameter estimation; Direction-of-arrival estimation; Array signal processing; Similarity; Alpha stable process; Measurement sensor; Signal estimation; Background noise; Algorithm; Pulse noise; Lower order statistics; Signal processing; Numerical simulation; Random variable

The Direction of Arrival (DOA) estimation under impulsive noise environments remains open in the field of array signal processing. Inspired by the advantage of correntropy which exhibits a ‘robust statistics’ property, this paper proposes a new operator, namely, the correntropy based correlation (CR...