杂波环境下基于粒子滤波的微弱扩展目标检测前跟踪算法

针对杂波环境下微弱扩展目标的实时检测和跟踪问题,该文提出一种基于粒子滤波的检测前跟踪（TBD）算法。该算法以杆状物体作为研究对象,通过划分距离和方位上的单元格,提出了不同区域内含有Weibull杂波的量测模型。在TBD框架下,将二进制目标存在变量和目标形状参数加入到状态向量中,通过抽样得到散射点集合,并利用粒子滤波实现杂波环境下对扩展目标状态和形状参数的检测和估计。仿真实验表明,该算法具有较好的稳定性。...

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Published in雷达学报 Vol. 6; no. 3; pp. 252 - 258
Main Author 吴孙勇 薛秋条 朱圣棋 闫青竹 孙希延
Format Journal Article
LanguageChinese
Published 广西精密导航技术与应用重点实验室 桂林541004%桂林电子科技大学数学与计算科学学院 桂林541004%西安电子科技大学雷达信号处理重点实验室 西安710071%广西精密导航技术与应用重点实验室 桂林541004 2017
桂林电子科技大学数学与计算科学学院 桂林541004
Subjects
Weibull分布
扩展目标
杂波
检测前跟踪
粒子滤波
扩展目标
粒子滤波
Weibull分布
杂波
检测前跟踪
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ISSN2095-283X
DOI10.12000/JR16128

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Summary:针对杂波环境下微弱扩展目标的实时检测和跟踪问题,该文提出一种基于粒子滤波的检测前跟踪（TBD）算法。该算法以杆状物体作为研究对象,通过划分距离和方位上的单元格,提出了不同区域内含有Weibull杂波的量测模型。在TBD框架下,将二进制目标存在变量和目标形状参数加入到状态向量中,通过抽样得到散射点集合,并利用粒子滤波实现杂波环境下对扩展目标状态和形状参数的检测和估计。仿真实验表明,该算法具有较好的稳定性。
Bibliography:10-1030/TN
The Track-Before-Detect （TBD） algorithm based on the particle filter is proposed for weak extended target detection and tracking in low signal to clutter noise radio. The rod-shaped object is analyzed by dividing the cell on range and azimuth under the Weibul clutter. On the basis of a point target, the likelihood function and particle weights can be obtained by the target spread function. In the TBD algorithm, the binary target variable and the target shape parameters is added to the state vector and the scattering points in the sample collection is given based on the particle filter, which can detect and estimate the target state and the shape parameters under the clutter environment. Simulation results show that the stability of the algorithm is very good.
Clutter; Weibull distribution; Particle filter; Track-Before-Detect （TBD）; Extended target
Wu Sunyong1,2 Xue Qiutiao1 Zhu Shengqi1 Yan Qingzhu1 Sun Xiyan2（1School of Computational Science and Mathematics, Guilin University of Electronic Technolog
ISSN:2095-283X
DOI:10.12000/JR16128