非平稳源的空间和时频特征估计

M. Amin, W. Mu, Yimin D. Zhang
{"title":"非平稳源的空间和时频特征估计","authors":"M. Amin, W. Mu, Yimin D. Zhang","doi":"10.1109/SSP.2001.955285","DOIUrl":null,"url":null,"abstract":"Signal synthesis using time-frequency distributions can be improved using an antenna array receiver. The availability of the source signals at different array elements allows the implementation of time-frequency synthesis techniques that utilize the source spatial signatures for crossterm reduction and noise mitigation. We introduce a new technique for signal synthesis based on array averaging of Wigner distributions. The source temporal waveforms are first synthesized and then used to estimate the source spatial signatures. An iterative process incorporating the source signal vector and array vector can be applied until the desired results are reached.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"140 1","pages":"313-316"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Spatial and time-frequency signature estimation of nonstationary sources\",\"authors\":\"M. Amin, W. Mu, Yimin D. Zhang\",\"doi\":\"10.1109/SSP.2001.955285\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Signal synthesis using time-frequency distributions can be improved using an antenna array receiver. The availability of the source signals at different array elements allows the implementation of time-frequency synthesis techniques that utilize the source spatial signatures for crossterm reduction and noise mitigation. We introduce a new technique for signal synthesis based on array averaging of Wigner distributions. The source temporal waveforms are first synthesized and then used to estimate the source spatial signatures. An iterative process incorporating the source signal vector and array vector can be applied until the desired results are reached.\",\"PeriodicalId\":70952,\"journal\":{\"name\":\"信号处理\",\"volume\":\"140 1\",\"pages\":\"313-316\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"信号处理\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/SSP.2001.955285\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"信号处理","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/SSP.2001.955285","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

使用天线阵列接收器可以改进使用时频分布的信号合成。源信号在不同阵列元素的可用性允许实现时频合成技术,该技术利用源空间特征来减少交叉项和降低噪声。介绍了一种基于维格纳分布阵列平均的信号合成新技术。首先合成源时间波形,然后利用该波形估计源空间特征。结合源信号矢量和阵列矢量的迭代过程可以应用,直到达到所需的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial and time-frequency signature estimation of nonstationary sources
Signal synthesis using time-frequency distributions can be improved using an antenna array receiver. The availability of the source signals at different array elements allows the implementation of time-frequency synthesis techniques that utilize the source spatial signatures for crossterm reduction and noise mitigation. We introduce a new technique for signal synthesis based on array averaging of Wigner distributions. The source temporal waveforms are first synthesized and then used to estimate the source spatial signatures. An iterative process incorporating the source signal vector and array vector can be applied until the desired results are reached.
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
自引率
0.00%
发文量
5812
期刊介绍: Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信