Efficient DOA estimation method employing Unitary improved polynomial rooting

Erwei Lin; Li Ba; Moshe Kam

Efficient DOA estimation method employing Unitary improved polynomial rooting

Erwei Lin, Li Ba, Moshe Kam

Research output: Contribution to journal › Conference article › peer-review

Abstract

High resolution direction-of-arrival (DOA) estimation is one of the most challenging problems in array signal processing. In this paper, a variation of the Improved Polynomial Rooting (IPR) method is proposed for DOA estimation of multiple targets by a sensor array. The variation, Unitary IPR (UIPR), transforms the complex-valued covariance matrix of the sensor signals to a real-valued matrix using unitary transformations. Then the IPR method is applied to determine the DOA of the targets. Simulation results indicate the potential improvement provided by our approach compared with MUSIC, Root-MUSIC, ESPRIT, and IPR.

Original language	English (US)
Pages (from-to)	II257-II260
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2
State	Published - 2004
Externally published	Yes
Event	Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada Duration: May 17 2004 → May 21 2004

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Efficient DOA estimation method employing Unitary improved polynomial rooting",

abstract = "High resolution direction-of-arrival (DOA) estimation is one of the most challenging problems in array signal processing. In this paper, a variation of the Improved Polynomial Rooting (IPR) method is proposed for DOA estimation of multiple targets by a sensor array. The variation, Unitary IPR (UIPR), transforms the complex-valued covariance matrix of the sensor signals to a real-valued matrix using unitary transformations. Then the IPR method is applied to determine the DOA of the targets. Simulation results indicate the potential improvement provided by our approach compared with MUSIC, Root-MUSIC, ESPRIT, and IPR.",

author = "Erwei Lin and Li Ba and Moshe Kam",

year = "2004",

language = "English (US)",

volume = "2",

pages = "II257--II260",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "1520-6149",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing ; Conference date: 17-05-2004 Through 21-05-2004",

}

TY - JOUR

T1 - Efficient DOA estimation method employing Unitary improved polynomial rooting

AU - Lin, Erwei

AU - Ba, Li

AU - Kam, Moshe

PY - 2004

Y1 - 2004

N2 - High resolution direction-of-arrival (DOA) estimation is one of the most challenging problems in array signal processing. In this paper, a variation of the Improved Polynomial Rooting (IPR) method is proposed for DOA estimation of multiple targets by a sensor array. The variation, Unitary IPR (UIPR), transforms the complex-valued covariance matrix of the sensor signals to a real-valued matrix using unitary transformations. Then the IPR method is applied to determine the DOA of the targets. Simulation results indicate the potential improvement provided by our approach compared with MUSIC, Root-MUSIC, ESPRIT, and IPR.

AB - High resolution direction-of-arrival (DOA) estimation is one of the most challenging problems in array signal processing. In this paper, a variation of the Improved Polynomial Rooting (IPR) method is proposed for DOA estimation of multiple targets by a sensor array. The variation, Unitary IPR (UIPR), transforms the complex-valued covariance matrix of the sensor signals to a real-valued matrix using unitary transformations. Then the IPR method is applied to determine the DOA of the targets. Simulation results indicate the potential improvement provided by our approach compared with MUSIC, Root-MUSIC, ESPRIT, and IPR.

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M3 - Conference article

AN - SCOPUS:4644230116

SN - 1520-6149

VL - 2

SP - II257-II260

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 17 May 2004 through 21 May 2004

ER -

Efficient DOA estimation method employing Unitary improved polynomial rooting

Abstract

All Science Journal Classification (ASJC) codes

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