{"title":"A Method for Avoiding Track Coalescence in Clutter Environment","authors":"Yabo Xu, Ke Xu, Jianwei Wan, Zhengda Xiong","doi":"10.1109/IAEAC.2018.8577594","DOIUrl":null,"url":null,"abstract":"In the multi-target and clutter environment, the correlation between measurement and the corresponding target source will becomes complicated. When the track of motion of two targets are close to each other, their track will be cross-merged with the tracking distance gradually increasing. At that time, two tracks will cross over and the two targets will no longer be separated and be tracked into one target. We usually reduce the impact of such problems from two aspects[1] [2]. One is to increase the aspiration of the target measurement and its own track, and the other is to reduce the impact of other measurement and their track. Based on this, this paper uses a simple and effective method to increase the impact of the target measurement and itself track so as to solve cross-merging of tracks effectively. Simulation results show that this method can reduce the tracking error greatly and solve the track crossing problem effectively.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"184 1","pages":"1814-1818"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAEAC.2018.8577594","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the multi-target and clutter environment, the correlation between measurement and the corresponding target source will becomes complicated. When the track of motion of two targets are close to each other, their track will be cross-merged with the tracking distance gradually increasing. At that time, two tracks will cross over and the two targets will no longer be separated and be tracked into one target. We usually reduce the impact of such problems from two aspects[1] [2]. One is to increase the aspiration of the target measurement and its own track, and the other is to reduce the impact of other measurement and their track. Based on this, this paper uses a simple and effective method to increase the impact of the target measurement and itself track so as to solve cross-merging of tracks effectively. Simulation results show that this method can reduce the tracking error greatly and solve the track crossing problem effectively.