{"title":"杂波下高脉冲重复频率雷达跟踪的高斯混合测量模型","authors":"Y. Shi, D. Musicki, Tae Han Kim, T. Song","doi":"10.1109/ELINFOCOM.2014.6914435","DOIUrl":null,"url":null,"abstract":"This paper presents an algorithm for high pulserepetition frequency (HPRF) radar tracking in clutter. A most serious problem with HPRF radar is the range ambiguity. This paper proposes a solution to this problem by using the Gaussian Mixture Model - Integrated Track Splitting (GMM-ITS) algorithm, which also gives out the probability of target existence (PTE) as the track quality measure. This track quality measure is used for false track discrimination in clutter.","PeriodicalId":360207,"journal":{"name":"2014 International Conference on Electronics, Information and Communications (ICEIC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Gaussian mixture measurement model for high pulse-repetition frequency radar tracking in clutter\",\"authors\":\"Y. Shi, D. Musicki, Tae Han Kim, T. Song\",\"doi\":\"10.1109/ELINFOCOM.2014.6914435\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an algorithm for high pulserepetition frequency (HPRF) radar tracking in clutter. A most serious problem with HPRF radar is the range ambiguity. This paper proposes a solution to this problem by using the Gaussian Mixture Model - Integrated Track Splitting (GMM-ITS) algorithm, which also gives out the probability of target existence (PTE) as the track quality measure. This track quality measure is used for false track discrimination in clutter.\",\"PeriodicalId\":360207,\"journal\":{\"name\":\"2014 International Conference on Electronics, Information and Communications (ICEIC)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Electronics, Information and Communications (ICEIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELINFOCOM.2014.6914435\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Electronics, Information and Communications (ICEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELINFOCOM.2014.6914435","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Gaussian mixture measurement model for high pulse-repetition frequency radar tracking in clutter
This paper presents an algorithm for high pulserepetition frequency (HPRF) radar tracking in clutter. A most serious problem with HPRF radar is the range ambiguity. This paper proposes a solution to this problem by using the Gaussian Mixture Model - Integrated Track Splitting (GMM-ITS) algorithm, which also gives out the probability of target existence (PTE) as the track quality measure. This track quality measure is used for false track discrimination in clutter.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
