存在空间相关噪声的鲁棒方向估计

B. Goransson
{"title":"存在空间相关噪声的鲁棒方向估计","authors":"B. Goransson","doi":"10.1109/SSAP.1994.572468","DOIUrl":null,"url":null,"abstract":"In most algorithms for direction estimation of signal wavefronts, the additive noise term is assumed to be spatially white or known to within a multiplicative scalar. Since the surrounding environment and orientation of the array may be time varying, the requirement of known noise statistics is seldom satisfied in practice. At high signal-to-noise ratio (SNR) the deviation from these assumption are not critical. However, at low SNR, the degradation may be severe. By introducing a banded structure noise model, it is possible to estimate the noise covariance simultaneously as the direction parameters are estimated. This technique considerably reduces the bias on the direction estimates, that are induced by the colored noise.In this paper such a parameterization is proposed, and the asymptotic bias is investigated with respect to small perturbations in the noise model.","PeriodicalId":151571,"journal":{"name":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Robust Direction Estimation in the Presence of Spatially Correlated Noise\",\"authors\":\"B. Goransson\",\"doi\":\"10.1109/SSAP.1994.572468\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In most algorithms for direction estimation of signal wavefronts, the additive noise term is assumed to be spatially white or known to within a multiplicative scalar. Since the surrounding environment and orientation of the array may be time varying, the requirement of known noise statistics is seldom satisfied in practice. At high signal-to-noise ratio (SNR) the deviation from these assumption are not critical. However, at low SNR, the degradation may be severe. By introducing a banded structure noise model, it is possible to estimate the noise covariance simultaneously as the direction parameters are estimated. This technique considerably reduces the bias on the direction estimates, that are induced by the colored noise.In this paper such a parameterization is proposed, and the asymptotic bias is investigated with respect to small perturbations in the noise model.\",\"PeriodicalId\":151571,\"journal\":{\"name\":\"IEEE Seventh SP Workshop on Statistical Signal and Array Processing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Seventh SP Workshop on Statistical Signal and Array Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSAP.1994.572468\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSAP.1994.572468","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

在大多数信号波前方向估计算法中,加性噪声项被假定为空间白色或已知在一个乘标量内。由于阵列的周围环境和方向可能是时变的,因此在实际应用中很难满足已知噪声统计量的要求。在高信噪比(SNR)下,这些假设的偏差并不严重。然而,在低信噪比下,退化可能会很严重。通过引入带状结构噪声模型,可以在估计方向参数的同时估计噪声协方差。这种技术大大减少了由彩色噪声引起的方向估计偏差。本文提出了这种参数化方法,并研究了噪声模型中关于小扰动的渐近偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Direction Estimation in the Presence of Spatially Correlated Noise
In most algorithms for direction estimation of signal wavefronts, the additive noise term is assumed to be spatially white or known to within a multiplicative scalar. Since the surrounding environment and orientation of the array may be time varying, the requirement of known noise statistics is seldom satisfied in practice. At high signal-to-noise ratio (SNR) the deviation from these assumption are not critical. However, at low SNR, the degradation may be severe. By introducing a banded structure noise model, it is possible to estimate the noise covariance simultaneously as the direction parameters are estimated. This technique considerably reduces the bias on the direction estimates, that are induced by the colored noise.In this paper such a parameterization is proposed, and the asymptotic bias is investigated with respect to small perturbations in the noise model.
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
0
×
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