{"title":"多级STAP CFAR检测技术","authors":"J. S. Goldstein, I. Reed, P. Zulch, W. Melvin","doi":"10.1109/NRC.1998.677986","DOIUrl":null,"url":null,"abstract":"This paper introduces a new method of partially adaptive CFAR detection. The processor implements a novel sequence of orthogonal subspace projections to decompose the Wiener solution in terms of the cross-correlation observed at each stage. The detection performance is evaluated in the general framework of space-time adaptive processing. It is demonstrated that this new approach to partially adaptive CFAR detection outperforms the more complex eigen-analysis approaches using true pulse-Doppler radar data collected by the multichannel airborne radar measurements (MCARM) radar.","PeriodicalId":432418,"journal":{"name":"Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"A multistage STAP CFAR detection technique\",\"authors\":\"J. S. Goldstein, I. Reed, P. Zulch, W. Melvin\",\"doi\":\"10.1109/NRC.1998.677986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a new method of partially adaptive CFAR detection. The processor implements a novel sequence of orthogonal subspace projections to decompose the Wiener solution in terms of the cross-correlation observed at each stage. The detection performance is evaluated in the general framework of space-time adaptive processing. It is demonstrated that this new approach to partially adaptive CFAR detection outperforms the more complex eigen-analysis approaches using true pulse-Doppler radar data collected by the multichannel airborne radar measurements (MCARM) radar.\",\"PeriodicalId\":432418,\"journal\":{\"name\":\"Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197)\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NRC.1998.677986\",\"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 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.1998.677986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper introduces a new method of partially adaptive CFAR detection. The processor implements a novel sequence of orthogonal subspace projections to decompose the Wiener solution in terms of the cross-correlation observed at each stage. The detection performance is evaluated in the general framework of space-time adaptive processing. It is demonstrated that this new approach to partially adaptive CFAR detection outperforms the more complex eigen-analysis approaches using true pulse-Doppler radar data collected by the multichannel airborne radar measurements (MCARM) radar.
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