{"title":"基于自适应多模型滤波的ADS-B系统轨迹跟踪","authors":"Kai-Ge Zhang, Yu-Long Qiao, Chaozhu Zhang","doi":"10.1109/RVSP.2013.28","DOIUrl":null,"url":null,"abstract":"ADS-B is a cooperating surveillance technology which can broadcast not only the position messages, but also the velocity, status and TCP (Trajectory Change Point) which could be used for target surveillance. This paper tries to utilize the multi-model method to enhance the filtering function. Through the simulation, we find it is reasonable to use the multi-model method and we also propose the unified modes structure which will benefit the computing efficiency and the parameter auto-adaptive modulation.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"21 1","pages":"93-97"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Trajectory Tracking Using Auto-adaptive Multi-model Filtering Method in ADS-B System\",\"authors\":\"Kai-Ge Zhang, Yu-Long Qiao, Chaozhu Zhang\",\"doi\":\"10.1109/RVSP.2013.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ADS-B is a cooperating surveillance technology which can broadcast not only the position messages, but also the velocity, status and TCP (Trajectory Change Point) which could be used for target surveillance. This paper tries to utilize the multi-model method to enhance the filtering function. Through the simulation, we find it is reasonable to use the multi-model method and we also propose the unified modes structure which will benefit the computing efficiency and the parameter auto-adaptive modulation.\",\"PeriodicalId\":6585,\"journal\":{\"name\":\"2013 Second International Conference on Robot, Vision and Signal Processing\",\"volume\":\"21 1\",\"pages\":\"93-97\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Second International Conference on Robot, Vision and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RVSP.2013.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Second International Conference on Robot, Vision and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RVSP.2013.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Trajectory Tracking Using Auto-adaptive Multi-model Filtering Method in ADS-B System
ADS-B is a cooperating surveillance technology which can broadcast not only the position messages, but also the velocity, status and TCP (Trajectory Change Point) which could be used for target surveillance. This paper tries to utilize the multi-model method to enhance the filtering function. Through the simulation, we find it is reasonable to use the multi-model method and we also propose the unified modes structure which will benefit the computing efficiency and the parameter auto-adaptive modulation.