| 王宇杰,李宇,黄海宁.一种基于蝙蝠算法的多目标跟踪数据关联方法[J].声学技术,2020,39(1):98~103 |
| 一种基于蝙蝠算法的多目标跟踪数据关联方法 |
| A bat algorithm based data association method for multi-target tracking |
| 投稿时间：2019-01-14 修订日期：2019-03-20 |
| DOI：10.16300/j.cnki.1000-3630.2020.01.017 |
| 中文关键词: 蝙蝠算法 组合优化 被动声呐 多目标跟踪 数据关联 |
| 英文关键词: combinatorial optimization passive sonar bat algorithm multi-target tracking data association |
| 基金项目:国家重点研发计划项目（2018YFC14059）、国家自然科学基金项目（11504402） |
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| 中文摘要: |
| 针对多目标跟踪中的数据关联问题，提出了基于蝙蝠算法的数据关联方法。首先将多目标数据关联问题建模成组合优化问题，结合数据关联的特点，对蝙蝠算法的搜索更新规则进行改进，使其可以应用于多目标的数据关联问题，并给出了基于蝙蝠算法的多目标数据关联的详细流程。通过仿真实验和被动声呐实测数据测试表明，基于蝙蝠算法的多目标数据关联方法切实可行并且具有较好的效果。 |
| 英文摘要: |
| A method based on Bat Algorithm to deal with the data association problem for multi-target tracking is proposed. First, the multi-target data association problem is transformed into a combinational optimization problem by modeling, and then the search and update rule of the bat algorithm is improved by combing the characteristics of multi-target data association. The new version of the bat algorithm can be applied to solving multi-target data asso-ciation problems. And in this paper, the detailed process of the bat algorithm based multi-target data association method is presented. Simulation results and test data of passive sonar show that this algorithm is feasible and effec-tive. |
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