| 基于多背景杂波分布模型的自适应CFAR检测 |
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| 引用本文： | 陈华杰,张渝,林岳松.基于多背景杂波分布模型的自适应CFAR检测[J].光电工程,2011,38(1):117-126. |
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| 作者姓名： | 陈华杰 张渝 林岳松 |
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| 作者单位： | 杭州电子科技大学通信信息传输与融合技术国防重点学科实验室,杭州,310037 |
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| 基金项目： | 国家自然科学基金，十一五国防预研基金 |
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| 摘 要： | 针对现有的CFAR(Constant False Alarm Rate,恒虚警)算法采用全局建模,在待检测的所有区城采用同种背景杂波分布模型,导致使用的模型在不适应区域失配,使CFAR检测性能下降的现象,本文提出一种基于多背景杂波分布模型的自适应CFAR检测算法.该方法根据背景区域的不同统计特性即统计方差和均值比来判断...
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| 关 键 词： | CFAR 高斯分布 杂波边缘 韦布尔分布 多目标区城 |
The Adaptive CFAR Detection Algorithm Based on the Multiple Background Clutter Distribution Model |
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| CHEN Hua-jie,ZHANG Yu,LIN Yue-song.The Adaptive CFAR Detection Algorithm Based on the Multiple Background Clutter Distribution Model[J].Opto-Electronic Engineering,2011,38(1):117-126. |
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| Authors: | CHEN Hua-jie ZHANG Yu LIN Yue-song |
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| Affiliation: | CHEN Hua-jie,ZHANG Yu,LIN Yue-song ( Communication Information Transmission and Information Fusion Defense Key Laboratory,Hangzhou Dianzi University,Hangzhou 310037,China ) |
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| Abstract: | Global modeling is adopted in existing Constant False Alarm Rate (CFAR) algorithms, and the same distribution model is used which estimates the background clutter to detect the whole area. But practical ground covers complex types, and different ground area has its most suitable backgrounds model. The used model is not fit in some regional, making higher loss of CFAR, bringing down the test performance. So an algorithm is presented which judged the areas according to the different characteristics of backgro... |
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| Keywords: | CFAR |
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