基于干扰信号到达角的波束形成降噪算法性能分析

2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2010-10-10 DOI:10.1109/CYBERC.2010.78

Md. Zahangir Alom, H. Lee

{"title":"基于干扰信号到达角的波束形成降噪算法性能分析","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":"{\"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}","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

摘要

本文分析了波束形成算法在干扰信号到达角度变化情况下的多通道消噪性能。在本文中，我们通过干扰信号的不同到达角度来检验期望信号的有效性。考虑间隔与期望信号到达角的干扰信号到达角的变化为。利用期望信号和优化后的多层感知(MLP)计算不同角度下的相关值。我们还使用了反向传播算法作为MLP的学习规则，提高了信号质量。这涉及到一个所需的信号，同时去除任何可能来自不同来源的噪声或干扰信号[1][2]。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Performance Analysis of Beamforming Algorithm for Noise Cancellation with Respect to the Arrival Angles of Interference Signal

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].

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery

自引率

0.00%

发文量