{"title":"Performance Analysis of Beamforming Algorithm for Noise Cancellation with Respect to the Arrival Angles of Interference Signal","authors":"Md. Zahangir Alom, H. Lee","doi":"10.1109/CYBERC.2010.78","DOIUrl":null,"url":null,"abstract":"This article presents performance analysis of multiple channel noise cancellation by beam forming algorithm depending on the variation of arrival of angles of the interference signal. In this article we examined that the effectiveness of the desired signal by the different arrival of angles of interference signals. The variation of the arrival angles of the interference signal considered to with intervals and the desired signal arrival angle is . The desired signal and the optimized multi-layer perception (MLP) were used to calculate the correlation values at different angle. We also used the Back propagation algorithm as learning rule for MLP and improving our signal quality. This involves a desired signal whilst removing any noise or interference signals which may come from different sources [1][2].","PeriodicalId":315132,"journal":{"name":"2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBERC.2010.78","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This article presents performance analysis of multiple channel noise cancellation by beam forming algorithm depending on the variation of arrival of angles of the interference signal. In this article we examined that the effectiveness of the desired signal by the different arrival of angles of interference signals. The variation of the arrival angles of the interference signal considered to with intervals and the desired signal arrival angle is . The desired signal and the optimized multi-layer perception (MLP) were used to calculate the correlation values at different angle. We also used the Back propagation algorithm as learning rule for MLP and improving our signal quality. This involves a desired signal whilst removing any noise or interference signals which may come from different sources [1][2].