基于非线性最小二乘的空中机动目标检测方法  

Detection of Air Maneuvering Targets via Nonlinear Least Squares

作　　者：李海[1] 吴仁彪[1] 王小寒[1] 

机构地区：[1]f中国民航大学天津市智能信号与图像处理重点实验室,天津300300

出　　处：《电子与信息学报》2012年第9期2143-2148,共6页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61071194,60979002);中国民航大学基金(2011kyE06,ZXH 2009D018)资助课题

摘　　要：针对强杂波背景下的空中机动目标检测问题,该文提出一种基于非线性最小二乘(Nonlinear LeastSquares,NLS)的空中机动目标检测方法。该方法通过构造目标信号模型,并利用NLS算法使其和杂波抑制后的数据具有最小的"平方和"距离来进行参数估计。该方法在脉冲点数有限的情况下,依然能够获得很好的参数估计结果。仿真结果证明了该方法的有效性。In this paper, a method based on Nonlinear Least Squares （NLS） is presented for detecting the maneuvering aerial targets with the strong clutter background. Firstly, the signal model of the target is constructed. Secondly, the data after clutter suppression is obtained. Then, the parameters of the targets can be estimated while using NLS through minimizing the sum of the squares of the distances between the former two. The method can provide an accurate estimate of the parameters even when the data sample is limited. The effectiveness of the method is verified via simulated data.

关 键 词：机载雷达 机动目标检测 空时自适应处理(STAP) 非线性最小二乘(NLS) 

分 类 号：TN959.73[电子电信—信号与信息处理]