| Geodesic流多伯努利检测前跟踪方法 |
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| 引用本文： | 柳超,孙进平,袁常顺,王子微.Geodesic流多伯努利检测前跟踪方法[J].电子学报,2020,48(7):1375-1379. |
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| 作者姓名： | 柳超 孙进平 袁常顺 王子微 |
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| 作者单位： | 1. 北京航空航天大学电子信息工程学院, 北京 100191;
2. 海军 92853部队, 辽宁葫芦岛 125106;
3. 北京航空航天大学杭州创新研究院, 浙江杭州 310051 |
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| 摘 要： | 由于粒子退化，基于粒子滤波的多伯努利检测前跟踪滤波器对多目标后验密度的估计不准确，导致量测非相参积累的效果不理想.为此，将Geodesic粒子流引入多伯努利检测前跟踪算法，以提升后验密度估计的准确度.此外，合并航迹时利用目标的航向信息，从而降低航迹交叉时不同目标的航迹被错误合并的概率.通过Rayleigh杂波中Swerling 1型起伏目标的检测及跟踪结果证明了所提算法的性能.
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| 关 键 词： | 检测前跟踪 多伯努利滤波器 粒子流 航迹合并 |
| 收稿时间： | 2019-06-28 |
Multi-Bernoulli Track-Before-Detect Method with Geodesic Flow |
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| LIU Chao,SUN Jin-ping,YUAN Chang-shun,WANG Zi-wei.Multi-Bernoulli Track-Before-Detect Method with Geodesic Flow[J].Acta Electronica Sinica,2020,48(7):1375-1379. |
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| Authors: | LIU Chao SUN Jin-ping YUAN Chang-shun WANG Zi-wei |
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| Affiliation: | 1. School of Electronic and Information Engineering, Beihang University, Beijing 100191, China;
2. PLA 92853 Unit, Huludao, Liaoning 125106, China;
3. Hangzhou Innovation Research Institute, Beihang University, Hangzhou, Zhejiang 310051, China |
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| Abstract: | Due to the particle degeneracy,the particle filter based multi-Bernoulli track-before-detect (TBD) filter has an inaccurate estimate of the multi-target posterior density,which leads to the poor performance of measurement non-coherent integration.In order to solve this issue,the Geodesic particle flow is introduced into the multi-Bernoulli TBD algorithm to improve the estimation of the posterior density.In addition,in the track-merging step,the course information of the target is exploited,which reduces the probability of merging tracks of different targets when they cross.The performance of the proposed algorithm is verified by the simulation results of Swerling 1 fluctuating targets detecting and tracking in Rayleigh clutter. |
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| Keywords: | track-before-detect multi-Bernoulli filter particle flow track merging |
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