粒子流粒子滤波检测前跟踪方法

柳超; 王子微; 孙进平

doi:10.16798/j.issn.1003-0530.2019.03.004

粒子流粒子滤波检测前跟踪方法

北京航空航天大学电子信息工程学院
海军92853部队

基金项目: 国家自然科学基金资助项目(61471019，U1633122)

详细信息

通讯作者:
柳超 E-mail: LC2016@buaa.edu.cn

中图分类号: TP391.41
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出版历程
- 收稿日期: 2018-12-30
- 修回日期: 2019-03-05
- 发布日期: 2019-03-24

Particle Flow Particle Filter Track-Before-Detect Method

School of Electronic and Information Engineering, Beihang University
PLA 92853 Unit

More Information

Corresponding author:
Liu Chao E-mail: LC2016@buaa.edu.cn

摘要

摘要: 检测前跟踪通过在连续多帧观测中对目标信号进行非相参积累以检测和跟踪微弱目标。积累的关键在于对目标轨迹的准确估计和多帧迭代滤波。传统粒子滤波器过于依赖建议分布，对目标轨迹的估计不够准确。新提出的粒子流滤波器是一种很好的替代方法，但其过于依赖当前时刻的量测而弱化多帧迭代滤波。本文提出一种在粒子滤波框架下采用粒子流的检测前跟踪方法：采用粒子滤波器进行多帧迭代滤波，但在每一帧内，采用Localized Exact Daum-Huang粒子流进行滤波。为了应对目标量测的不确定性，本文改造了Localized Exact Daum-Huang滤波器，为每个粒子在其邻域内寻找最大似然量测，并利用该量测更新粒子状态。Rayleigh分布杂波下Swerling1型起伏目标的检测和跟踪实验证明了所提算法的性能。
- 微弱目标 /
- 检测前跟踪 /
- 粒子滤波器 /
- 粒子流
Abstract: The track-before-detect method detects and tracks weak targets by non-coherent integration of target signals over continuous multiple frames. The key to this integration lies in the accurate estimation of the target trajectory and multi-frame iterative filtering. Traditional particle filters rely highly on the proposal distribution, and thus the estimation of the target trajectory is not accurate enough. The newly proposed particle flow filter is a promising alternative. However, it relies significantly on current measurement and neglects the multi-frame iterative filtering. In this paper, a novel track-before-detect strategy is presented. The particle filter is exploited for multi-frame iterative filtering, but within each frame, the filtering process is completed by the Localized Exact Daum-Huang filter. In order to deal with the uncertainty of measurement, the Localized Exact Daum-Huang filter is modified. Each particle finds in its neighborhood the measurement with maximum likelihood, and then the measurement is used to update the particle state. The performance of the proposed algorithm is evaluated by detecting and tracking a Swerling 1 target in Rayleigh clutter.
- weak targets /
- track-before-detect /
- particle filter /
- particle flow

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参考文献(29)

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