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基于非线性最小二乘的空中机动目标检测方法
引用本文:李海, 吴仁彪, 王小寒. 基于非线性最小二乘的空中机动目标检测方法[J]. 电子与信息学报, 2012, 34(9): 2143-2148. doi: 10.3724/SP.J.1146.2012.00220
作者姓名:李海*  吴仁彪  王小寒
作者单位: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
基金项目: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 Least Squares, 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。

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)
收稿时间:2012-03-06
修稿时间:2012-05-21

Detection of Air Maneuvering Targets via Nonlinear Least Squares
Li Hai, Wu Ren-Biao, Wang Xiao-Han. Detection of Air Maneuvering Targets via Nonlinear Least Squares[J]. Journal of Electronics & Information Technology, 2012, 34(9): 2143-2148. doi: 10.3724/SP.J.1146.2012.00220
Authors:Li Hai Wu Ren-biao Wang Xiao-han
Affiliation:Li Hai Wu Ren-biao Wang Xiao-han (Tianjin Key Lab for Advanced Signal Processing,Civil Aviation University of China,Tianjin 300300,China)
Abstract: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.
Keywords:Airborne radar  Maneuvering target detection  Space-Time Adaptive Processing(STAP)  Nonlinear Least Squares(NLS)
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