摘要
针对在相干积累期间转动引起导向矢量误差的分布式目标检测问题,提出了一种稳健检测算法。利用极大似然方法和拉格朗日乘子法对各个距离单元的信号进行估计,得到稳健的广义似然比检测算子。理论分析表明该算法的恒虚警率特性。对两类飞机实测数据的多个仿真结果表明,与传统的广义似然算法相比,该算法检测性能有明显的提高。
A robust detection algorithm for the spatial distributed target with steering vector mismatch due to target＇s rotation during a coherent processing interval（CPI） is proposed.The proposed detector,robust generalized likelihood rate test（RGLRT）,is derived by estimating signals from every range cell through maximum likelihood（ML） method and Lagrange multiplier method.It is proved that the RGLRT has the property of a constant false alarm rate（CFAR）.Finally,experimental results for measured data of two planes illustrate that the proposed algorithm achieves a visible performance improvement comparing with the conventional GLRT method.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2010年第6期1182-1186,共5页
Systems Engineering and Electronics
基金
国防预研基金项目资助课题
关键词
稳健检测算法
广义似然算法
拉格朗日乘子法
恒虚警率
robust detection algorithm
generalized likelihood method
Lagrange multiplier method
constant false alarm rate
