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作 者:王莉莉[1] WANG Lili(Big Data Research Institute, Rongzhi College, Chongqing Technology and Business University, Chongqing 401320,China)
机构地区:[1]重庆工商大学融智学院大数据研究所,重庆401320
出 处:《探测与控制学报》2017年第6期99-106,共8页Journal of Detection & Control
摘 要:针对以往组建多传感器对多目标跟踪联盟过程中,缺少对联盟的实时性、单目标跟踪精度和能耗需求考虑的问题,提出了基于搜索引擎结构模型的多传感器管理机制。在该机制中,检索器以对单目标的跟踪精度需求和能耗需求为关键词,检索传感器跟踪联盟方案。在此基础上,描述了传感器网络对单目标建立传感器跟踪联盟方案的过程。建立了在多目标同时来袭的情形下考虑单目标跟踪精度需求和能耗需求的传感器跟踪联盟模型,继而提出检索器检索传感器跟踪联盟方案的改进人工狼群算法。仿真结果表明,采用此方法,能够有效找到既满足单目标跟踪精度需求和能耗需求,又具有较高适应度的传感器跟踪联盟方案。Aiming at the problem of lacking realtime discussion and single target tracking accuracy requirement and energy consumption demand when building multisensor tracking coalitions for multitargets in past papers,a new multisensor management mechanism based on the structure of search engine was put forward.Under this mechanism,the searcher took the need for tracking precision and the need for energy from single target as the keys to search multisensor tracking coalitions.Theoriticly,the process of building multisensor tracking coalitions for targets was described.What's more,the model of multisensor tracking coalition to multitargets was built,with the need for tracking precision and the need for energy from single target considered,and the improved wolf algorithm was made as the searching algorithm of the searcher.The simulation result indicated that,by using the method,multisensor tracking coalition schemes with the need for tracking precision and the need for energy from single target satisfied were found,and these schemes had high fitness.
关 键 词:多传感器管理 多传感器跟踪联盟 搜索引擎结构 改进人工狼群算法 跟踪精度 能耗
分 类 号:TN215[电子电信—物理电子学]
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