基于自适应α截集特征提取的雷达杂波识别  

Radar Clutter Recognition Based on Feature Extraction by Adaptive- a Truncation Set

作　　者：方学立[1,2] 梁甸农[1] 

机构地区：[1]国防科技大学电子科学与工程学院综合电子信息研究所 [2]空军装备研究院装备总体论证研究所,北京100076

出　　处：《信号处理》2005年第5期439-442,共4页Journal of Signal Processing

基　　金：国家部委基金资助项目(41307020203)

摘　　要：α截集特征提取雷达杂波识别方法所需样本数目少,识别率高,在雷达杂波识别领域具有重要应用。通常α截集特征提取方法中的α值是主观给出的一个小数,在多变的雷达杂波环境中不能使α截集特征提取方法给出最佳的识别效果。本文提出了一种α值自适应选取的α截集雷达杂波识别方法,建立了“各可能分布的α截集值差异程度”与α值间的对应关系,并利用“差异程度最大”准则对α值进行优化,克服了上述缺点,实现了算法对杂波环境的自适应。仿真结果表明,本方法能够提供对雷达杂波更高的识别率,是一种更有效、更具实用意义的雷达杂波识别方法。Compared to other methods, the feature extraction of α truncation set needs fewer samples and has higher recognition rate, which plays an important role in radar clutter recognition. Usually, the value of α in this method is a subjectively given decimal, and can not offer optimal recognition results in varied clutter environment. A new α truncation set feature extraction based method with adaptive selection of α is proposed. The corresponding relation between α and “the difference among all possible distributions” is established and the value of α is optimized by the “difference maximization” criterion. Our method can adapt to different clutter environment, which overcomes the shortcoming above. Simulation results show that this new method has a higher recognition rote, and is more valid, practical and prospective in radar clutter recognition.

关 键 词：α截集 雷达杂波识别 自适应 雷达杂波 特征提取 杂波识别 截集 识别方法 提取方法 杂波环境 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN957.51[自动化与计算机技术—计算机科学与技术]