摘要
纯方位目标定位精度不仅与所选择的节点数目有关,而且还与目标和节点间的相对位置有关,为了同时满足目标的定位精度尽量高和节点能量消耗尽量少这一要求,提出了一种改进的基于多目标蚁群优化算法的传感器节点组网策略。在此基础上,推导了基于当前统计模型的分散式纯方位跟踪算法并对纯方位机动目标实施跟踪。仿真结果表明:在选择相同数目节点的前提下,本文所提出的节点选择方法与传统的最近邻方法相比,跟踪精度不仅得到了提高,而且还节约了节点的能量消耗。
Bearings-only target localization accuracy depends not only on the number of used nodes, but also on the relative geometric position between nodes and target. In order to improve target localization accuracy and conserve node energy consumption simultaneously, an improved multi-objective ant colony optimization algorithm was presented to deal with the problem of node selection in the sensor network. On the base of it, a decentralized bearings-only tracking algorithm based on the current statistical model was deduced and used to track bearings-only maneuvering target. Simulation results show that the proposed node selection strategy not only improves tracking accuracy, but also conserves node energy consumption compared with the traditional nearest node method under the premise that the number of selected nodes is equal for both methods.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2006年第3期379-384,共6页
Journal of Astronautics
基金
江苏省自然科学基金资助项目(2004132)
关键词
纯方位
机动目标
传感器网络
蚁群算法
Bearings-only
Maneuvering target
Sensor network
Ant colony algorithm
