{"title":"用一种新的投影算法分离真实环境中多个二次监视雷达源","authors":"N. Petrochilos, G. Galati, L. Mene, E. Piracci","doi":"10.1109/ISSPIT.2005.1577082","DOIUrl":null,"url":null,"abstract":"Multilateration systems based on secondary surveillance radar (SSR) and omni-directional antennae are operational today (P. Bezousek, 1998) with expected capacity limitations due to the increase of the air traffic. Assuming the replacement of the omni-directional antenna by an array, we proposed new algorithms in previous works (N. Petrochilos, July 2002), (N. Petrochilos, et al., May 2004). Unfortunately, they have some shortcomings, an expensive computational cost, and a not-so simple practical implementation. Therefore, there is a need for reliable, simple, effective algorithms such as the one we present here to separate multiple SSR signals. Real signals (as recorded in a live environment) are used to demonstrate the effectiveness of the proposed algorithm","PeriodicalId":421826,"journal":{"name":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Separation of multiple secondary surveillance radar sources in a real environment by a novel projection algorithm\",\"authors\":\"N. Petrochilos, G. Galati, L. Mene, E. Piracci\",\"doi\":\"10.1109/ISSPIT.2005.1577082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multilateration systems based on secondary surveillance radar (SSR) and omni-directional antennae are operational today (P. Bezousek, 1998) with expected capacity limitations due to the increase of the air traffic. Assuming the replacement of the omni-directional antenna by an array, we proposed new algorithms in previous works (N. Petrochilos, July 2002), (N. Petrochilos, et al., May 2004). Unfortunately, they have some shortcomings, an expensive computational cost, and a not-so simple practical implementation. Therefore, there is a need for reliable, simple, effective algorithms such as the one we present here to separate multiple SSR signals. Real signals (as recorded in a live environment) are used to demonstrate the effectiveness of the proposed algorithm\",\"PeriodicalId\":421826,\"journal\":{\"name\":\"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPIT.2005.1577082\",\"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 Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2005.1577082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Separation of multiple secondary surveillance radar sources in a real environment by a novel projection algorithm
Multilateration systems based on secondary surveillance radar (SSR) and omni-directional antennae are operational today (P. Bezousek, 1998) with expected capacity limitations due to the increase of the air traffic. Assuming the replacement of the omni-directional antenna by an array, we proposed new algorithms in previous works (N. Petrochilos, July 2002), (N. Petrochilos, et al., May 2004). Unfortunately, they have some shortcomings, an expensive computational cost, and a not-so simple practical implementation. Therefore, there is a need for reliable, simple, effective algorithms such as the one we present here to separate multiple SSR signals. Real signals (as recorded in a live environment) are used to demonstrate the effectiveness of the proposed algorithm