对称-stable与高斯的混合噪声中信号检测的几种新方法
The Innovative Signal Detection Methods in a Mixture of Symmetric -stable and Gaussian Interference
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摘要: 文章首先对现有-stable噪声中信号检测的几种方法进行概述、分析。在将背景噪声拓展为对称-stable分布噪声和高斯噪声的混合噪声(一种更接近实际工程的噪声模型)时，基于一种可逼近于对称-stable分布的表达式，提出了几种基于低阶矩理论的信号检测新方法。它们分别是:改进的矩方法、局部次最优新方法。它们有简单的表达式，容易实现。蒙特卡罗仿真试验结果表明，这几种新方法是行之有效的，检测性能优于现有的一些方法。Abstract: After summarizing and analyzing the existing signal detection methods in a-stable noise, several innovative signal detection methods based on Fractional Low Order Moments (FLOMs) are proposed in this paper, which are the improved moment-type method and the new locally suboptimum method respectively. And these detectors are available in both the Symmetric a-stable (SaS) interference and the mixture of Gaussian and SaS interference. At the same time, Monte Carlo simulations demonstrate that all these detectors are efficient and they outperform the existing methods.
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[1] Ilow J. Dimitris Hatzinakos, Applications of the empirical characteristic function to estimation and detection problems[J].Signal Processing.1995, 65(2):199-219 -
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