Gerschgorin radii based source number detection for closely spaced signals

Jar-Ferr Yang; Hsien Tsai Wu

Gerschgorin radii based source number detection for closely spaced signals

Jar-Ferr Yang, Hsien Tsai Wu

Institute of Computer and Communication Engineering

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

7 Citations (Scopus)

Abstract

We first analyze the resolution performance of the Gerschgorin radii based source number detector proposed in [1] for independent closely-spaced plane waves. Based upon the analysis, we can easily verify the resolution threshold of the Gerschgorin radii based algorithm. For improvement of the detection performance, we then further propose a weighted Gerschgorin radii algorithm. With closed-form expressions and simulations, we find that the analyzed performances in terms of the number of sensors, the relative angular separation of emitters, and the signal-to-noise ratios can properly characterize their behaviors for source number detection.

Original language	English
Pages (from-to)	3053-3056
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	6
Publication status	Published - 1996 Jan 1
Event	Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA Duration: 1996 May 7 → 1996 May 10

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

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title = "Gerschgorin radii based source number detection for closely spaced signals",

abstract = "We first analyze the resolution performance of the Gerschgorin radii based source number detector proposed in [1] for independent closely-spaced plane waves. Based upon the analysis, we can easily verify the resolution threshold of the Gerschgorin radii based algorithm. For improvement of the detection performance, we then further propose a weighted Gerschgorin radii algorithm. With closed-form expressions and simulations, we find that the analyzed performances in terms of the number of sensors, the relative angular separation of emitters, and the signal-to-noise ratios can properly characterize their behaviors for source number detection.",

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year = "1996",

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note = "Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) ; Conference date: 07-05-1996 Through 10-05-1996",

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TY - JOUR

T1 - Gerschgorin radii based source number detection for closely spaced signals

AU - Yang, Jar-Ferr

AU - Wu, Hsien Tsai

PY - 1996/1/1

Y1 - 1996/1/1

N2 - We first analyze the resolution performance of the Gerschgorin radii based source number detector proposed in [1] for independent closely-spaced plane waves. Based upon the analysis, we can easily verify the resolution threshold of the Gerschgorin radii based algorithm. For improvement of the detection performance, we then further propose a weighted Gerschgorin radii algorithm. With closed-form expressions and simulations, we find that the analyzed performances in terms of the number of sensors, the relative angular separation of emitters, and the signal-to-noise ratios can properly characterize their behaviors for source number detection.

AB - We first analyze the resolution performance of the Gerschgorin radii based source number detector proposed in [1] for independent closely-spaced plane waves. Based upon the analysis, we can easily verify the resolution threshold of the Gerschgorin radii based algorithm. For improvement of the detection performance, we then further propose a weighted Gerschgorin radii algorithm. With closed-form expressions and simulations, we find that the analyzed performances in terms of the number of sensors, the relative angular separation of emitters, and the signal-to-noise ratios can properly characterize their behaviors for source number detection.

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M3 - Conference article

AN - SCOPUS:0029746350

VL - 6

SP - 3053

EP - 3056

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

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

SN - 0736-7791

T2 - Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6)

Y2 - 7 May 1996 through 10 May 1996

ER -

Gerschgorin radii based source number detection for closely spaced signals

Abstract

All Science Journal Classification (ASJC) codes

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