| 污染型类高斯噪声中信号的Robust-SA检测 |
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| 引用本文： | 侯书果,李永慈,李春兰.污染型类高斯噪声中信号的Robust-SA检测[J].信号处理,2002,18(1):75-79. |
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| 作者姓名： | 侯书果 李永慈 李春兰 |
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| 作者单位： | 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 |
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| 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。
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| 关 键 词： | Robust-SA检测器 随机逼近算法 最不利密度函数 |
| 修稿时间： | 2000年11月29 |
Robust-SA Detection of Signals in Nearly Gaussion Noise for Contaminated Model |
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| Hou Shuguo,Li Yongci Li Chunlan.Robust-SA Detection of Signals in Nearly Gaussion Noise for Contaminated Model[J].Signal Processing,2002,18(1):75-79. |
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| Authors: | Hou Shuguo Li Yongci Li Chunlan |
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| Abstract: | 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. |
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| Keywords: | Robust-SA detector Stochastic approximation algorithm The least favorable density function |
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