{"title":"基于NCMA的智能天线盲自适应波束形成仿真","authors":"B. Ahmed, Fathima Jabeen","doi":"10.1109/INDICON.2016.7839146","DOIUrl":null,"url":null,"abstract":"The simulation of Blind adaptive beamforming using Normalized Constant Modulus Algorithm (NCMA) for the application of smart antenna systems is presented. The significance and basics of smart antenna design in terms of mathematical model is discussed. In this work 16-point QAM (Quadrature Amplitude Modulation) data is considered for simulation, which is one of the preferred modulation formats in design of modems and other fixed location wireless applications in industry. The simulation results in terms of array factor and antenna array response are presented, in which significant improvement is observed compared to other related work.","PeriodicalId":248433,"journal":{"name":"2017 IEEE 7th International Advance Computing Conference (IACC)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Blind Adaptive Beamforming Simulation Using NCMA for Smart Antenna\",\"authors\":\"B. Ahmed, Fathima Jabeen\",\"doi\":\"10.1109/INDICON.2016.7839146\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The simulation of Blind adaptive beamforming using Normalized Constant Modulus Algorithm (NCMA) for the application of smart antenna systems is presented. The significance and basics of smart antenna design in terms of mathematical model is discussed. In this work 16-point QAM (Quadrature Amplitude Modulation) data is considered for simulation, which is one of the preferred modulation formats in design of modems and other fixed location wireless applications in industry. The simulation results in terms of array factor and antenna array response are presented, in which significant improvement is observed compared to other related work.\",\"PeriodicalId\":248433,\"journal\":{\"name\":\"2017 IEEE 7th International Advance Computing Conference (IACC)\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 7th International Advance Computing Conference (IACC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDICON.2016.7839146\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 7th International Advance Computing Conference (IACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDICON.2016.7839146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blind Adaptive Beamforming Simulation Using NCMA for Smart Antenna
The simulation of Blind adaptive beamforming using Normalized Constant Modulus Algorithm (NCMA) for the application of smart antenna systems is presented. The significance and basics of smart antenna design in terms of mathematical model is discussed. In this work 16-point QAM (Quadrature Amplitude Modulation) data is considered for simulation, which is one of the preferred modulation formats in design of modems and other fixed location wireless applications in industry. The simulation results in terms of array factor and antenna array response are presented, in which significant improvement is observed compared to other related work.
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