{"title":"多目标跟踪雷达跟踪质量估计","authors":"T. W. Jeffrey","doi":"10.1109/NRC.1989.47619","DOIUrl":null,"url":null,"abstract":"A method is developed for estimating track quality for a multiple-target tracking radar, such as an electronically scanned array radar or track-while-scan system. It is assumed that tracking error residuals and error variance estimates are available, as is the case when minimum-variance track filters are used. A normalized distance function is selected as the direct measure of a target's instantaneous track quality. It is smoothed using a recursive fading memory filter to provide an estimate of track quality. A statistical hypothesis test is then applied to the track quality estimates to determine when target tracks have achieved a specified quality for the given application. This procedure can be implemented for each target in track, and it uses only data already required by the return-to-track association algorithms used by many multiple-target tracking radars. In addition, the technique is applicable to both active and passive radar operation, and it can easily be extended to incorporate alternate or additional quality criteria.<<ETX>>","PeriodicalId":167059,"journal":{"name":"Proceedings of the IEEE National Radar Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Track quality estimation for multiple-target tracking radars\",\"authors\":\"T. W. Jeffrey\",\"doi\":\"10.1109/NRC.1989.47619\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method is developed for estimating track quality for a multiple-target tracking radar, such as an electronically scanned array radar or track-while-scan system. It is assumed that tracking error residuals and error variance estimates are available, as is the case when minimum-variance track filters are used. A normalized distance function is selected as the direct measure of a target's instantaneous track quality. It is smoothed using a recursive fading memory filter to provide an estimate of track quality. A statistical hypothesis test is then applied to the track quality estimates to determine when target tracks have achieved a specified quality for the given application. This procedure can be implemented for each target in track, and it uses only data already required by the return-to-track association algorithms used by many multiple-target tracking radars. In addition, the technique is applicable to both active and passive radar operation, and it can easily be extended to incorporate alternate or additional quality criteria.<<ETX>>\",\"PeriodicalId\":167059,\"journal\":{\"name\":\"Proceedings of the IEEE National Radar Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE National Radar Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NRC.1989.47619\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE National Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.1989.47619","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Track quality estimation for multiple-target tracking radars
A method is developed for estimating track quality for a multiple-target tracking radar, such as an electronically scanned array radar or track-while-scan system. It is assumed that tracking error residuals and error variance estimates are available, as is the case when minimum-variance track filters are used. A normalized distance function is selected as the direct measure of a target's instantaneous track quality. It is smoothed using a recursive fading memory filter to provide an estimate of track quality. A statistical hypothesis test is then applied to the track quality estimates to determine when target tracks have achieved a specified quality for the given application. This procedure can be implemented for each target in track, and it uses only data already required by the return-to-track association algorithms used by many multiple-target tracking radars. In addition, the technique is applicable to both active and passive radar operation, and it can easily be extended to incorporate alternate or additional quality criteria.<>