| 引用本文: | 王婷婷,何科峰,程然. 具有形状信息的多个群目标跟踪算法[J]. 雷达科学与技术, 2017, 15(5): 531-536.[点击复制] |
| WANG Tingting, HE Kefeng, CHENG Ran. A Tracking Algorithm for Multiple Group-Targets with Shape Information[J]. Radar Science and Technology, 2017, 15(5): 531-536.[点击复制] |
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| 摘要: |
| 针对杂波和漏检环境下多个群目标跟踪中形状估计精度低的问题，提出一种具有形状信息的多个群目标跟踪算法。该算法首先进行量测集划分进而起始航迹，随后对传统的群目标Bayesian递推算法进行改进，并融合群航迹关联等算法，利用改进的算法对多个群目标的运动状态和形状信息同时进行估计，大大提高了形状的估计精度。仿真结果表明，该算法不仅可以对多个群目标的运动状态同时进行跟踪，并且可以有效估计每个群目标的形状信息，大大提高了形状估计精度。 |
| 关键词: 群目标跟踪 形状信息 状态估计 随机矩阵 |
| DOI： |
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| 基金项目:中航工业技术创新基金(No.2014D60720R) |
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| A Tracking Algorithm for Multiple Group-Targets with Shape Information |
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WANG Tingting, HE Kefeng, CHENG Ran
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(AVIC Leihua Electronic Technology Research Institute, Wuxi 214063, China)
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| Abstract: |
| Aiming at the problem of low shape estimation accuracy under the condition of miss detection and clutter measurements in multiple group-target tracking, a novel multiple group-target tracking algorithm with shape information is proposed in this paper. Firstly, the algorithm divides the measurement set for track initiation. Then, the method improves the conventional group-target Bayesian recursive estimation, and fuses the group-target track association algorithm. Based on the improved method, the kinematic state and shape information of group-target can be estimated simultaneously, and high shape estimation accuracy is achieved. Simulation results show that the algorithm can not only track multiple group-targets simultaneously, but also achieve the shape information of each group-target with high shape estimation accuracy. |
| Key words: group-target tracking shape information kinematic state estimation random matrix |
