一种基于自适应滤波的海杂波背景下多目标检测方法  

A Multi-target Detection Method Based on Adaptive Filtering in Sea Clutter Background

作　　者：马红光 郭金库 姜勤波 刘志强 MA Hongguang;GUO Jinku;JIANG Qinbo;LIU Zhiqiang(Xi’an Daheng Tiancheng IT Co.Ltd.Xi’an 710026,China)

机构地区：[1]西安大衡天成信息科技有限公司,陕西西安710026

出　　处：《现代信息科技》2022年第4期72-76,共5页Modern Information Technology

摘　　要：文章提出一种基于自适应滤波的多目标检测方法。将雷达回波等分成回波矩阵X_(i),计算X_(i)的协方差矩阵并进行特征值分解;利用特征值矩阵D计算奇异谱,估计主分量个数N_(ev),以N_(ev)>3作为门限判断回波矩阵X_(i)是否包含目标;通过特征矢量矩阵V构成的自适应滤波器对X_(i)滤波,估算滤波后回波脉冲的Pareto模型参数,生成Pareto随机序列;采用K-L散度识别目标回波,用峰值检测法确定各个目标位置。通过实测海杂波数据实验,验证了所提方法的有效性。A multi-target detection method is proposed based on adaptive filtering.The radar echo is firstly evenly partitioned into echo matrices X_(i).The covariance matrix of X_(i) is calculated and then the eigenvalue decomposition is performed.The singular spectrum is calculated via the eigenvalue matrix D,and the number of principal components N_(ev) is determined.The threshold N_(ev)>3 judges if targets are contained in X_(i).The adaptive filtering is applied to X_(i) with the eigenvector matrix V.The model parameters of Pareto distribution are estimated for each filtered echo.The random series of Pareto distribution are generated.The target echoesare identified via K-L Divergence.The positions of targets are determined by peak finding technique.Trials have been conducted on the measured sea clutter datasets and the effectiveness of the proposed method is validated.

关 键 词：海杂波 多目标检测 特征值分解 自适应滤波 K-L散度 

分 类 号：TN957.51[电子电信—信号与信息处理]