{"title":"基于fft的最优STAP共轭梯度法","authors":"Youming Li, Chee Hoo Cheong","doi":"10.1109/ICR.2001.984829","DOIUrl":null,"url":null,"abstract":"A fast conjugate-gradient iterative algorithm (CGIA) for solving optimal space-time adaptive processing (STAP) problem is proposed. The algorithm is based on FFT by exploring the block Toeplitz with Toeplitz block (BTTB) structure of the interference covariance matrix. Therefore the computational complexity is significantly reduced as compared with the matrix inversion method. Computer simulations are provided for illustrating the effectiveness of the proposed method.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"3 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"FFT-based conjugate gradient method for optimal STAP\",\"authors\":\"Youming Li, Chee Hoo Cheong\",\"doi\":\"10.1109/ICR.2001.984829\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fast conjugate-gradient iterative algorithm (CGIA) for solving optimal space-time adaptive processing (STAP) problem is proposed. The algorithm is based on FFT by exploring the block Toeplitz with Toeplitz block (BTTB) structure of the interference covariance matrix. Therefore the computational complexity is significantly reduced as compared with the matrix inversion method. Computer simulations are provided for illustrating the effectiveness of the proposed method.\",\"PeriodicalId\":366998,\"journal\":{\"name\":\"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)\",\"volume\":\"3 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICR.2001.984829\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICR.2001.984829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FFT-based conjugate gradient method for optimal STAP
A fast conjugate-gradient iterative algorithm (CGIA) for solving optimal space-time adaptive processing (STAP) problem is proposed. The algorithm is based on FFT by exploring the block Toeplitz with Toeplitz block (BTTB) structure of the interference covariance matrix. Therefore the computational complexity is significantly reduced as compared with the matrix inversion method. Computer simulations are provided for illustrating the effectiveness of the proposed method.
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