Estimation of the number of signal components based on singular values of noise subspace

Xin Peng Zhou; Feng Han; Guo Hua Wei; Si Liang Wu

doi:10.3724/SP.J.1146.2010.01216

Estimation of the number of signal components based on singular values of noise subspace

Xin Peng Zhou^*, Feng Han, Guo Hua Wei, Si Liang Wu

^*此作品的通讯作者

信息与电子学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

2 引用（Scopus）

摘要

A new method is proposed to improve the performance of estimating the number of signal components in low Signal-to-Noise Ratio (SNR) environment, based on singular values of noise subspace and the principle of Constant False Alarm Rate (CFAR). Through researching the relationship between singular values of Hankel matrix and the energy of noise, the threshold of detecting singular values of noise subspace is got in a certain probability of false alarm by using the characteristic of Gaussian white noise envelope submitting to exponential distribution. Simulation results show that the method is effective in low SNR condition.

源语言	英语
页（从-至）	2039-2044
页数	6
期刊	Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
卷	33
期	9
DOI	https://doi.org/10.3724/SP.J.1146.2010.01216
出版状态	已出版 - 9月 2011

访问文件

10.3724/SP.J.1146.2010.01216

其它文件与链接

链接到 Scopus 的出版物

引用此

@article{4a5fab21774e40bc86e6812737511fed,

title = "Estimation of the number of signal components based on singular values of noise subspace",

abstract = "A new method is proposed to improve the performance of estimating the number of signal components in low Signal-to-Noise Ratio (SNR) environment, based on singular values of noise subspace and the principle of Constant False Alarm Rate (CFAR). Through researching the relationship between singular values of Hankel matrix and the energy of noise, the threshold of detecting singular values of noise subspace is got in a certain probability of false alarm by using the characteristic of Gaussian white noise envelope submitting to exponential distribution. Simulation results show that the method is effective in low SNR condition.",

keywords = "Constant False Alarm Rate (CFAR) detection, Parameter estimation, Signal component, Signal processing, Singular value decompose, Subspace",

author = "Zhou, {Xin Peng} and Feng Han and Wei, {Guo Hua} and Wu, {Si Liang}",

year = "2011",

month = sep,

doi = "10.3724/SP.J.1146.2010.01216",

language = "English",

volume = "33",

pages = "2039--2044",

journal = "Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology",

issn = "1009-5896",

publisher = "Science China Press",

number = "9",

}

TY - JOUR

T1 - Estimation of the number of signal components based on singular values of noise subspace

AU - Zhou, Xin Peng

AU - Han, Feng

AU - Wei, Guo Hua

AU - Wu, Si Liang

PY - 2011/9

Y1 - 2011/9

N2 - A new method is proposed to improve the performance of estimating the number of signal components in low Signal-to-Noise Ratio (SNR) environment, based on singular values of noise subspace and the principle of Constant False Alarm Rate (CFAR). Through researching the relationship between singular values of Hankel matrix and the energy of noise, the threshold of detecting singular values of noise subspace is got in a certain probability of false alarm by using the characteristic of Gaussian white noise envelope submitting to exponential distribution. Simulation results show that the method is effective in low SNR condition.

AB - A new method is proposed to improve the performance of estimating the number of signal components in low Signal-to-Noise Ratio (SNR) environment, based on singular values of noise subspace and the principle of Constant False Alarm Rate (CFAR). Through researching the relationship between singular values of Hankel matrix and the energy of noise, the threshold of detecting singular values of noise subspace is got in a certain probability of false alarm by using the characteristic of Gaussian white noise envelope submitting to exponential distribution. Simulation results show that the method is effective in low SNR condition.

KW - Constant False Alarm Rate (CFAR) detection

KW - Parameter estimation

KW - Signal component

KW - Signal processing

KW - Singular value decompose

KW - Subspace

UR - http://www.scopus.com/inward/record.url?scp=80053988435&partnerID=8YFLogxK

U2 - 10.3724/SP.J.1146.2010.01216

DO - 10.3724/SP.J.1146.2010.01216

M3 - Article

AN - SCOPUS:80053988435

SN - 1009-5896

VL - 33

SP - 2039

EP - 2044

JO - Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology

JF - Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology

IS - 9

ER -

Estimation of the number of signal components based on singular values of noise subspace

摘要

访问文件

其它文件与链接

指纹

引用此