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

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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.

Original language	English
Pages (from-to)	2039-2044
Number of pages	6
Journal	Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Volume	33
Issue number	9
DOIs	https://doi.org/10.3724/SP.J.1146.2010.01216
Publication status	Published - Sept 2011

Keywords

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

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10.3724/SP.J.1146.2010.01216

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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.",

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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

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SN - 1009-5896

VL - 33

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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

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Keywords

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