{"title":"一种利用小波包消除旁瓣的方法","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":"{\"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}","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}
A method of sidelobe cancellation using wavelet packets
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.