{"title":"基于IRLS算法的任意几何天线阵方向图旁瓣电平抑制","authors":"I. Dotlic, A. Zejak","doi":"10.1109/EURCON.2001.937790","DOIUrl":null,"url":null,"abstract":"A novel method for suppressing antenna array radiation pattern sidelobes while keeping the main lobe width constant has been proposed. The method is based on the IRLS (iterative reweighted least squares) algorithm, which has found wide application in the field of radar pulse compression. The algorithm is not restricted by the array geometry and the mutual element coupling and has no limitations regarding the array excitation coefficients and array radiation pattern. In comparison with the ECF (envelope constrained filter) method, it showed much better results in sidelobe suppression. The algorithm implementation is simple and straightforward.","PeriodicalId":205662,"journal":{"name":"EUROCON'2001. International Conference on Trends in Communications. Technical Program, Proceedings (Cat. No.01EX439)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Pattern sidelobe level suppression on antenna array with arbitrary geometry by the IRLS algorithm\",\"authors\":\"I. Dotlic, A. Zejak\",\"doi\":\"10.1109/EURCON.2001.937790\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel method for suppressing antenna array radiation pattern sidelobes while keeping the main lobe width constant has been proposed. The method is based on the IRLS (iterative reweighted least squares) algorithm, which has found wide application in the field of radar pulse compression. The algorithm is not restricted by the array geometry and the mutual element coupling and has no limitations regarding the array excitation coefficients and array radiation pattern. In comparison with the ECF (envelope constrained filter) method, it showed much better results in sidelobe suppression. The algorithm implementation is simple and straightforward.\",\"PeriodicalId\":205662,\"journal\":{\"name\":\"EUROCON'2001. International Conference on Trends in Communications. Technical Program, Proceedings (Cat. No.01EX439)\",\"volume\":\"122 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EUROCON'2001. International Conference on Trends in Communications. Technical Program, Proceedings (Cat. No.01EX439)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EURCON.2001.937790\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EUROCON'2001. International Conference on Trends in Communications. Technical Program, Proceedings (Cat. No.01EX439)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EURCON.2001.937790","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pattern sidelobe level suppression on antenna array with arbitrary geometry by the IRLS algorithm
A novel method for suppressing antenna array radiation pattern sidelobes while keeping the main lobe width constant has been proposed. The method is based on the IRLS (iterative reweighted least squares) algorithm, which has found wide application in the field of radar pulse compression. The algorithm is not restricted by the array geometry and the mutual element coupling and has no limitations regarding the array excitation coefficients and array radiation pattern. In comparison with the ECF (envelope constrained filter) method, it showed much better results in sidelobe suppression. The algorithm implementation is simple and straightforward.