{"title":"Projection Techniques for Separation of Multiple Secondary Surveillance Radar Sources in a Real Environment","authors":"N. Petrochilos, G. Galati, E. Piracci","doi":"10.1109/SAM.2006.1706151","DOIUrl":null,"url":null,"abstract":"secondary surveillance radar (SSR) based on multilateration principle and omni-directional antennae are operational today. We proposed new algorithms to separate a mixture of overlapping SSR replies on a M-elements antenna in previous works, other solutions were also proposed in the literature. Unfortunately, all have either some shortcomings, or an expensive computational cost, or no simple practical implementation. Therefore, there is a need for reliable, simple, effective algorithms to separate multiple SSR signals. Real recorded signals in a live environment are used to demonstrate the effectiveness of the proposed techniques","PeriodicalId":272327,"journal":{"name":"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAM.2006.1706151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
secondary surveillance radar (SSR) based on multilateration principle and omni-directional antennae are operational today. We proposed new algorithms to separate a mixture of overlapping SSR replies on a M-elements antenna in previous works, other solutions were also proposed in the literature. Unfortunately, all have either some shortcomings, or an expensive computational cost, or no simple practical implementation. Therefore, there is a need for reliable, simple, effective algorithms to separate multiple SSR signals. Real recorded signals in a live environment are used to demonstrate the effectiveness of the proposed techniques