PDF approximations to estimation and detection in time-correlated alpha-stable channels

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• 作者：Zeinab Hashemifard ^{hashemifard@aut.ac.ir} ; Hamidreza Amindavar ; ^{hamidami@aut.ac.ir}
• 关键词：Detection and estimation ; Sub-optimum detector ; Alpha-stable distribution ; Approximation ; Impulsive noise
• 刊名：Signal Processing
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：133
• 期：Complete
• 页码：97-106
• 全文大小：1697 K
• 卷排序：133

文摘

Two parametric PDF approximations for symmetric α-stable (SαS) distribution are proposed. For every arbitrary value of α, curve fitting is employed to estimate the model parameters of approximations. Binary signal detection in the presence of time-dependent heavy-tailed noise described by the SαS AR(1) model is studied. By usng the proposed PDF approximations in the ML estimator, an algorithm for the noise parameters estimation is developed. The proposed detectors based on the PDF approximations show the superior and near-optimal performance.