污染型类高斯噪声中信号的Robust-SA检测  

Robust-SA Detection of Signals in Nearly Gaussion Noise for Contaminated Model

作　　者：侯书果[1] 李永慈[2] 李春兰[1] 

机构地区：[1]河北农业大学理学院,保定071000 [2]河北农业大学计算机系,保定071000

出　　处：《信号处理》2002年第1期75-79,共5页Journal of Signal Processing

摘　　要：采用了Ｒｏｂｂｉｎｓ－Ｍｏｒｒｏ随机逼近算法，得到了Ｒｏｂｕｓｔ－ＳＡ检测器。它的主要特点是具有Ｍ－检测器的优点，且便于实时处理和计算机编程。理论分析与仿真例子都表明：此检测器具有良好的顽健性，能很好的检测信号。Robbins-Morro s Stochastic Approximation Algorithm was utilized and Robust-SA detector was obtained. The detector not only had good performance of M-detector, but also made the real-time process and computer programming easier. Both the theory analyzing and simulation example show that this detector has good robustness and is a well robust detector.

关 键 词：随机逼近算法 信号检测 Robust-SA检测 污染型类高斯噪声 

分 类 号：TN911.23[电子电信—通信与信息系统]