{"title":"Pilot-aided jamming cancelation in slow FH/MFSK systems","authors":"H. Nguyen-Le, T. Le-Ngoc, C. Ko","doi":"10.1109/ATC.2011.6027474","DOIUrl":null,"url":null,"abstract":"Follower partial band jamming is recognized as the most efficient strategy to deteriorate the performance of frequency hopping (FH) systems with M-ary frequency shift keying (MFSK) modulation. In this paper, a pilot-aided parallel jamming cancelation (PJC) scheme that uses a two-element array is proposed for both follower jamming rejection and symbol detection in slow FH/MFSK systems over slow frequency-flat fading channels. Simulation results demonstrate that the proposed PJC scheme outperforms the ML-based scheme [1], the traditional ML approach, and the sample matrix inversion (SMI) method [2] over a wide signal-to-jamming ratio (SJR) range.","PeriodicalId":221905,"journal":{"name":"The 2011 International Conference on Advanced Technologies for Communications (ATC 2011)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2011 International Conference on Advanced Technologies for Communications (ATC 2011)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATC.2011.6027474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Follower partial band jamming is recognized as the most efficient strategy to deteriorate the performance of frequency hopping (FH) systems with M-ary frequency shift keying (MFSK) modulation. In this paper, a pilot-aided parallel jamming cancelation (PJC) scheme that uses a two-element array is proposed for both follower jamming rejection and symbol detection in slow FH/MFSK systems over slow frequency-flat fading channels. Simulation results demonstrate that the proposed PJC scheme outperforms the ML-based scheme [1], the traditional ML approach, and the sample matrix inversion (SMI) method [2] over a wide signal-to-jamming ratio (SJR) range.