{"title":"一种DS-SS通信模糊逻辑干扰抑制算法","authors":"C. Naidoo, P. van Rooyen","doi":"10.1109/COMSIG.1998.736920","DOIUrl":null,"url":null,"abstract":"New techniques to suppress narrow-band and multiple-access interference for spread-spectrum (SS) systems are continually being researched for use in the growing cellular CDMA market. This paper investigates the feasibility of using a fuzzy logic technique to adapt the MMSE detector for the suppression of narrow-band interference (NBI). The fuzzy logic adaptation (FLA) technique is described and its performance is compared to the least-mean-square (LMS) and the recursive-least-square (RLS) adaptive algorithms. It is found that the fuzzy logic technique considered gives a performance improvement over the conventional and adaptive algorithm, while it fails to match the performance of the RLS adaptive algorithm.","PeriodicalId":294473,"journal":{"name":"Proceedings of the 1998 South African Symposium on Communications and Signal Processing-COMSIG '98 (Cat. No. 98EX214)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A fuzzy logic interference suppression algorithm for DS-SS communications\",\"authors\":\"C. Naidoo, P. van Rooyen\",\"doi\":\"10.1109/COMSIG.1998.736920\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"New techniques to suppress narrow-band and multiple-access interference for spread-spectrum (SS) systems are continually being researched for use in the growing cellular CDMA market. This paper investigates the feasibility of using a fuzzy logic technique to adapt the MMSE detector for the suppression of narrow-band interference (NBI). The fuzzy logic adaptation (FLA) technique is described and its performance is compared to the least-mean-square (LMS) and the recursive-least-square (RLS) adaptive algorithms. It is found that the fuzzy logic technique considered gives a performance improvement over the conventional and adaptive algorithm, while it fails to match the performance of the RLS adaptive algorithm.\",\"PeriodicalId\":294473,\"journal\":{\"name\":\"Proceedings of the 1998 South African Symposium on Communications and Signal Processing-COMSIG '98 (Cat. No. 98EX214)\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1998 South African Symposium on Communications and Signal Processing-COMSIG '98 (Cat. No. 98EX214)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMSIG.1998.736920\",\"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 South African Symposium on Communications and Signal Processing-COMSIG '98 (Cat. No. 98EX214)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMSIG.1998.736920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fuzzy logic interference suppression algorithm for DS-SS communications
New techniques to suppress narrow-band and multiple-access interference for spread-spectrum (SS) systems are continually being researched for use in the growing cellular CDMA market. This paper investigates the feasibility of using a fuzzy logic technique to adapt the MMSE detector for the suppression of narrow-band interference (NBI). The fuzzy logic adaptation (FLA) technique is described and its performance is compared to the least-mean-square (LMS) and the recursive-least-square (RLS) adaptive algorithms. It is found that the fuzzy logic technique considered gives a performance improvement over the conventional and adaptive algorithm, while it fails to match the performance of the RLS adaptive algorithm.
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