摘要
针对逆合成孔径雷达目标的检测问题,提出了一种对高分辨距离像数据检测的稳健算法.本文采用改进的二阶锥规划对各个距离单元的信号进行估计,并推导出改进的稳健广义似然比检测算子.分析了新算法的计算复杂度,证明了恒虚警率性,并估计了检测门限.三类飞机实测数据的多个实验结果表明,在严重导向矢量失配的情况下,本文算法性能相对与传统的广义似然比算法有明显的提高.
A robust detection method for inverse synthetic aperture radar（ISAR）target using high resolution range profiles（HRRP）is proposed.The proposed detector,improved robust generalized likelihood rate test（IRGLRT）,is derived by estimating signal from every range cell through an improved second order cone programming（SOCP）.Furthermore,lower computational complexity is analyzed,constant false alarm rate（CFAR）property is proved and the detection threshold is estimated.Finally,experimental results for measured data of three planes illustrate that IRGLRT achieves a visible performance improvement comparing with conventional generalized likelihood rate test（GLRT）,especially in the presence of severe steering vector mismatches.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2010年第3期672-677,共6页
Acta Electronica Sinica
基金
国家自然科学基金(No.60672128)
国防预研基金资助课题(9140A07020508DZ01)
关键词
逆合成孔径雷达目标检测
高分辨距离像
二阶锥规划
恒虚警率
inverse synthetic radar target detection
high resolution range profiles（HRRP）
second order cone programming（SOCP）
constant false alarm rate（CFAR）
