Underdetermined DOA estimation of quasi-stationary signals via Khatri-Rao structure for uniform circular array

Ming-Yang Cao; Lei Huang; Cheng Qian; Jia-Yin Xue; H.C. So

doi:10.1016/j.sigpro.2014.06.012

Underdetermined DOA estimation of quasi-stationary signals via Khatri-Rao structure for uniform circular array

Ming-Yang Cao, Lei Huang^*, Cheng Qian, Jia-Yin Xue, H.C. So

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

44 Citations (Scopus)

Abstract

Underdetermined direction-of-arrival (DOA) estimation for quasi-stationary signals impinging on a uniform circular array (UCA) with M sensors is addressed in this paper. We apply the Khatri-Rao (KR) approach to the UCA and obtain a new signal model which is capable of providing O(M²) sensors. Meanwhile, the virtual steering matrix can be decomposed into a product of characteristic matrix depending on the array structure and a Vandermonde matrix bearing the DOA information. The exact number of virtual sensors that the KR-UCA model is able to provide is studied as well. Simulation results are included to demonstrate the effectiveness of the proposed method. © 2014 Elsevier B.V.

Original language	English
Pages (from-to)	41-48
Journal	Signal Processing
Volume	106
Online published	24 Jun 2014
DOIs	https://doi.org/10.1016/j.sigpro.2014.06.012
Publication status	Published - Jan 2015

Research Keywords

Khatri-Rao subspace approach
Manifold separation technique
Quasi-stationary signal
Underdetermined estimation
Uniform circular array

RGC Funding Information

RGC-funded

Access Output

10.1016/j.sigpro.2014.06.012

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@article{499b3b746f8a4677b932109c2665b177,

title = "Underdetermined DOA estimation of quasi-stationary signals via Khatri-Rao structure for uniform circular array",

abstract = "Underdetermined direction-of-arrival (DOA) estimation for quasi-stationary signals impinging on a uniform circular array (UCA) with M sensors is addressed in this paper. We apply the Khatri-Rao (KR) approach to the UCA and obtain a new signal model which is capable of providing O(M2) sensors. Meanwhile, the virtual steering matrix can be decomposed into a product of characteristic matrix depending on the array structure and a Vandermonde matrix bearing the DOA information. The exact number of virtual sensors that the KR-UCA model is able to provide is studied as well. Simulation results are included to demonstrate the effectiveness of the proposed method. {\textcopyright} 2014 Elsevier B.V.",

keywords = "Khatri-Rao subspace approach, Manifold separation technique, Quasi-stationary signal, Underdetermined estimation, Uniform circular array",

author = "Ming-Yang Cao and Lei Huang and Cheng Qian and Jia-Yin Xue and H.C. So",

year = "2015",

month = jan,

doi = "10.1016/j.sigpro.2014.06.012",

language = "English",

volume = "106",

pages = "41--48",

journal = "Signal Processing",

issn = "0165-1684",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Underdetermined DOA estimation of quasi-stationary signals via Khatri-Rao structure for uniform circular array

AU - Cao, Ming-Yang

AU - Huang, Lei

AU - Qian, Cheng

AU - Xue, Jia-Yin

AU - So, H.C.

PY - 2015/1

Y1 - 2015/1

N2 - Underdetermined direction-of-arrival (DOA) estimation for quasi-stationary signals impinging on a uniform circular array (UCA) with M sensors is addressed in this paper. We apply the Khatri-Rao (KR) approach to the UCA and obtain a new signal model which is capable of providing O(M2) sensors. Meanwhile, the virtual steering matrix can be decomposed into a product of characteristic matrix depending on the array structure and a Vandermonde matrix bearing the DOA information. The exact number of virtual sensors that the KR-UCA model is able to provide is studied as well. Simulation results are included to demonstrate the effectiveness of the proposed method. © 2014 Elsevier B.V.

AB - Underdetermined direction-of-arrival (DOA) estimation for quasi-stationary signals impinging on a uniform circular array (UCA) with M sensors is addressed in this paper. We apply the Khatri-Rao (KR) approach to the UCA and obtain a new signal model which is capable of providing O(M2) sensors. Meanwhile, the virtual steering matrix can be decomposed into a product of characteristic matrix depending on the array structure and a Vandermonde matrix bearing the DOA information. The exact number of virtual sensors that the KR-UCA model is able to provide is studied as well. Simulation results are included to demonstrate the effectiveness of the proposed method. © 2014 Elsevier B.V.

KW - Khatri-Rao subspace approach

KW - Manifold separation technique

KW - Quasi-stationary signal

KW - Underdetermined estimation

KW - Uniform circular array

UR - http://www.scopus.com/inward/record.url?scp=84905058983&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84905058983&origin=recordpage

U2 - 10.1016/j.sigpro.2014.06.012

DO - 10.1016/j.sigpro.2014.06.012

M3 - RGC 21 - Publication in refereed journal

SN - 0165-1684

VL - 106

SP - 41

EP - 48

JO - Signal Processing

JF - Signal Processing

ER -

Underdetermined DOA estimation of quasi-stationary signals via Khatri-Rao structure for uniform circular array

Abstract

Research Keywords

RGC Funding Information

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this