Ants for track initiation of bearings-only tracking
Ants for track initiation of bearings-only tracking
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DOI：
10.1016/j.simpat.2008.03.003
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发表时间：
2008-07-01
影响因子：
4.2
通讯作者：
Wang, Zhiquan
中科院分区：
文献类型：
--
作者：
Xu, Benlian;Chen, Qinglan;Wang, Zhiquan
提出了一种利用不同任务的蚂蚁进行航迹起始的新方法--蚁群优化算法。对于不同任务的蚂蚁系统，我们假设要启动的轨道数等于任务数，而且，相同任务的蚂蚁通过协作搜索给定的轨道，而不同任务的蚂蚁将在搜索过程中相互竞争。为了实现这种行为，建立了信息素模型，并提出了相应的优化目标函数。数值仿真结果表明，在纯方位多传感器多目标跟踪情况下，不同任务蚂蚁系统的航迹起始性能优于其他航迹起始方法. (c)2008 Elsevier B. V.保留所有权利。
A novel track initiation method using ants of different tasks, a kind of ant colony optimization (ACO) algorithm, is developed in this paper. For the proposed system of ants of different tasks, we assume that the number of tracks to be initiated equals the one of tasks, and moreover, ants of the same task search for a given track by collaboration, while ants of different tasks will compete with each other during the search process. In order to fulfill such behaviors, the pheromone model is established, and the corresponding objective function to be optimized is also presented. Numerical simulation results indicate that, for the case of bearings-only multi-sensor-multi-target tracking, the track initiation performance for the proposed system of ants of different tasks performs well compared to other track initiation methods. (c) 2008 Elsevier B.V. All rights reserved.