国防科技大学学报Issue(1)：118-124,7.DOI:10.11887/j.cn.201501020
KK分布杂波下的距离扩展目标检测算法
Range-spread target detection in KK-distributed clutter
摘要
Abstract
Aiming at the range-spread target detection problem in KK-distributed heavy-tailed radar clutter,the KK-distributed radar clutter was taken as a spherically invariant random vector.The Neyman-Pearson optimal integrator for the range-spread target detection with known target amplitude was derived firstly.Then by replacing the ideal target amplitude with the maximum likelihood estimates,the detector model in generalized likelihood ratio test (GLRT)was obtained.Both of the detectors are dependent on the modified Bessel function of the second kind, which makes the detectors computationally complicated,so a suboptimal generalized likelihood ratio detector based on order statistics (OS -GLRT) was proposed.The OS -GLRT takes some range unit echoes with largest amplitude in detection window as target echoes.The performance assessment conducted by Monte Carlo simulation validates that:the optimal integrator and GLRT have better performance,however,they are hard to applied,and the OS -GLRT is a more practical detector.关键词
距离扩展目标检测/广义似然比检验/球不变随机变量/KK分布/顺序统计量Key words
range-spread target detection/generalized likelihood ratio test/spherically invariant random variables/KK distribution/order statistics分类
信息技术与安全科学引用本文复制引用
高彦钊,占荣辉,万建伟..KK分布杂波下的距离扩展目标检测算法[J].国防科技大学学报,2015,(1):118-124,7.基金项目
国家自然科学基金资助项目 （）
