| 基于广义符号最大或最小选择检测器 |
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| 引用本文： | 张林,黄勇,关键,何友. 基于广义符号最大或最小选择检测器[J]. 雷达科学与技术, 2011, 9(3): 259-263 |
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| 作者姓名： | 张林 黄勇 关键 何友 |
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| 作者单位： | 海军航空工程学院,山东烟台,264001 |
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| 基金项目： | 国家自然科学基金(No.60802088,60672140) |
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| 摘 要： | 现代雷达系统中,杂波统计特性往往无法预先确定,此时针对性较强的参量检测方法就失去了恒虚警能力,因此非参量方法已成为一个重要的研究方向。通过对同一距离单元不同观测时间区间上由广义符号检测器形成的多个检验统计量进行排序后选大或选小,提出了两种广义符号检测器的改进型,即基于广义符号统计量的最大或最小选择检测器。在高斯杂波和实测海杂波数据下,分析了上述两种检测器对于Swerling 0和SwerlingⅡ目标的检测性能,研究表明,两种新型检测器的检测性能均优于GS检测器。
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| 关 键 词： | 海杂波 广义符号统计量 恒虚警 Swerling目标模型 |
Smallest and Greatest Selection Detector Based on a Generalized Sign |
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| ZHANG Lin,HUANG Yong,GUAN Jian,HE You. Smallest and Greatest Selection Detector Based on a Generalized Sign[J]. Radar Science and Technology, 2011, 9(3): 259-263 |
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| Authors: | ZHANG Lin HUANG Yong GUAN Jian HE You |
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| Affiliation: | ZHANG Lin,HUANG Yong,GUAN Jian,HE You(Department of Electronic and Information Engineering,Naval Aeronautical andAstronautical University,Yantai 264001,China) |
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| Abstract: | In modern radar systems,the clutter's statistic characters are often unknown.With this clutter,parametric detectors lose the capability of CFAR.So nonparametric detectors become very important.Two improved generalized sign detector are proposed respectively by choosing the greatest and smallest test statistics which are generated by the generalized sign detector using the returns coming from the same range cell at different intervals of observation time.They are called the smallest and greatest selection de... |
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| Keywords: | sea clutter generalized sign test statistic constant false alarm rate(CFAR) Swerling target model |
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