{"title":"A method of sidelobe cancellation using wavelet packets","authors":"P.E. Cahill, K. Gerlach, F.C. Li","doi":"10.1109/NRC.2004.1316462","DOIUrl":null,"url":null,"abstract":"Classical methods of performing sidelobe cancellation include an approach whereby the main and auxiliary channels are divided into a prescribed number of contiguous subbands. This is known as a band-partitioned (BP) sidelobe canceler (SLC). A method of BP sidelobe cancellation using wavelet packets (WP) has been developed. The use of a wavelet packet decomposition is a simple, well-defined way to implement a paraunitary tree-structured filter bank. The performance of this method is compared to the method used in Lin et al. (2003), which is a special case of a uniform DFT filter bank. It is shown that the WP analysis filters provide better separation between adjacent narrowband channels, leading to an increase in performance of the BP SLC algorithm.","PeriodicalId":268965,"journal":{"name":"Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.2004.1316462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Classical methods of performing sidelobe cancellation include an approach whereby the main and auxiliary channels are divided into a prescribed number of contiguous subbands. This is known as a band-partitioned (BP) sidelobe canceler (SLC). A method of BP sidelobe cancellation using wavelet packets (WP) has been developed. The use of a wavelet packet decomposition is a simple, well-defined way to implement a paraunitary tree-structured filter bank. The performance of this method is compared to the method used in Lin et al. (2003), which is a special case of a uniform DFT filter bank. It is shown that the WP analysis filters provide better separation between adjacent narrowband channels, leading to an increase in performance of the BP SLC algorithm.