| 粒子流粒子滤波检测前跟踪方法 |
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| 引用本文： | 柳超,王子微,孙进平.粒子流粒子滤波检测前跟踪方法[J].信号处理,2019,35(3):342-350. |
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| 作者姓名： | 柳超 王子微 孙进平 |
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| 作者单位： | 北京航空航天大学电子信息工程学院 |
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| 基金项目： | 国家自然科学基金资助项目(61471019，U1633122) |
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| 摘 要： | 检测前跟踪通过积累多帧量测以检测和跟踪微弱目标。积累的关键在于对目标后验密度的准确表示。传统粒子滤波器过于依赖建议密度,因而对目标后验密度的表示不够准确。新提出的粒子流滤波器能够准确表示目标后验密度,但无法实现量测的帧间积累。为此,本文提出一种在粒子滤波框架下结合粒子流的检测前跟踪方法:采用粒子滤波框架实现多帧量测积累,并在每一帧内采用Localized Exact Daum-Huang粒子流表示目标后验密度,以提升量测积累效果。我们通过Rayleigh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。
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| 关 键 词： | 微弱目标 检测前跟踪 粒子滤波器 粒子流 |
| 收稿时间： | 2018-12-31 |
Particle Flow Particle Filter Track-Before-Detect Method |
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| Liu Chao,Wang Ziwei,Sun Jinping.Particle Flow Particle Filter Track-Before-Detect Method[J].Signal Processing,2019,35(3):342-350. |
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| Authors: | Liu Chao Wang Ziwei Sun Jinping |
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| Affiliation: | School of Electronic and Information Engineering, Beihang UniversityPLA 92853 Unit |
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| 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. |
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| Keywords: | weak targets track-before-detect particle filter particle flow |
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