{"title":"二次监视雷达:真实环境中基于稀疏性的源分离","authors":"N. Petrochilos, G. Galati, E. Piracci","doi":"10.1109/TIWDC.2008.4649029","DOIUrl":null,"url":null,"abstract":"Secondary surveillance radar (SSR) based on multilateration principle and omni-directional antennae are operational today [1], [2]. We proposed several new algorithms to separate a mixture of overlapping SSR replies on a M-elements antenna in previous works [3], [4], [5], [6], other solutions were also proposed in the literature [7], [8], [9]. Unfortunately, a rare event, but important, has not yet been resolved: the impinging of more sources than sensors with an approximate similar time of arrival. This preliminary work studies the use of the SSR sources sparsity property, as in [10], [11], [12]. Real recorded signals in a live environment will be used to demonstrate the effectiveness of the proposed techniques.","PeriodicalId":113942,"journal":{"name":"2008 Tyrrhenian International Workshop on Digital Communications - Enhanced Surveillance of Aircraft and Vehicles","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Secondary Surveillance Radar: Sparsity-based sources separation in a real environment\",\"authors\":\"N. Petrochilos, G. Galati, E. Piracci\",\"doi\":\"10.1109/TIWDC.2008.4649029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Secondary surveillance radar (SSR) based on multilateration principle and omni-directional antennae are operational today [1], [2]. We proposed several new algorithms to separate a mixture of overlapping SSR replies on a M-elements antenna in previous works [3], [4], [5], [6], other solutions were also proposed in the literature [7], [8], [9]. Unfortunately, a rare event, but important, has not yet been resolved: the impinging of more sources than sensors with an approximate similar time of arrival. This preliminary work studies the use of the SSR sources sparsity property, as in [10], [11], [12]. Real recorded signals in a live environment will be used to demonstrate the effectiveness of the proposed techniques.\",\"PeriodicalId\":113942,\"journal\":{\"name\":\"2008 Tyrrhenian International Workshop on Digital Communications - Enhanced Surveillance of Aircraft and Vehicles\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Tyrrhenian International Workshop on Digital Communications - Enhanced Surveillance of Aircraft and Vehicles\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TIWDC.2008.4649029\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Tyrrhenian International Workshop on Digital Communications - Enhanced Surveillance of Aircraft and Vehicles","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TIWDC.2008.4649029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Secondary Surveillance Radar: Sparsity-based sources separation in a real environment
Secondary surveillance radar (SSR) based on multilateration principle and omni-directional antennae are operational today [1], [2]. We proposed several new algorithms to separate a mixture of overlapping SSR replies on a M-elements antenna in previous works [3], [4], [5], [6], other solutions were also proposed in the literature [7], [8], [9]. Unfortunately, a rare event, but important, has not yet been resolved: the impinging of more sources than sensors with an approximate similar time of arrival. This preliminary work studies the use of the SSR sources sparsity property, as in [10], [11], [12]. Real recorded signals in a live environment will be used to demonstrate the effectiveness of the proposed techniques.