On the performance characterization of signal-subspace processing

H. Wang; M. Kaveh

doi:10.1109/ACSSC.1985.671424

On the performance characterization of signal-subspace processing

H. Wang, M. Kaveh

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

This paper presents an analytical evaluation of detection (determination of the number of sources) and estimation performances of narrowband signal-subspace processing for multiple-source direction finding. The probabilities of underestimating and overestimating the number of sources are derived, under asymptotic conditions, in terms of the choice of a penalty function and signal, noise and array parameters for the cases of at most two closely-spaced sources in the spatially white noise. A scalar measured is introduced for the evaluation of the quality of the estimated signalsubspace. Based on the statistics of this measure performance thresholds are demonstrated for the signal-to-noise ratio, angle separation and correlation between two equipowered sources.

Original language	English (US)
Title of host publication	Conference Record - 19th Asilomar Conference on Circuits, Systems and Computers, ACSSC 1985
Editors	Donald E. Kirk
Publisher	IEEE Computer Society
Pages	73-77
Number of pages	5
ISBN (Electronic)	0818607297
DOIs	https://doi.org/10.1109/ACSSC.1985.671424
State	Published - 1985
Event	19th Asilomar Conference on Circuits, Systems and Computers, ACSSC 1985 - Pacific Grove, United States Duration: Nov 6 1985 → Nov 8 1985

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Conference

Conference	19th Asilomar Conference on Circuits, Systems and Computers, ACSSC 1985
Country/Territory	United States
City	Pacific Grove
Period	11/6/85 → 11/8/85

Bibliographical note

Publisher Copyright:
© 1985 IEEE.

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10.1109/ACSSC.1985.671424

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Wang, H., & Kaveh, M. (1985). On the performance characterization of signal-subspace processing. In D. E. Kirk (Ed.), Conference Record - 19th Asilomar Conference on Circuits, Systems and Computers, ACSSC 1985 (pp. 73-77). Article 671424 (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE Computer Society. https://doi.org/10.1109/ACSSC.1985.671424

On the performance characterization of signal-subspace processing. / Wang, H.; Kaveh, M.
Conference Record - 19th Asilomar Conference on Circuits, Systems and Computers, ACSSC 1985. ed. / Donald E. Kirk. IEEE Computer Society, 1985. p. 73-77 671424 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, H & Kaveh, M 1985, On the performance characterization of signal-subspace processing. in DE Kirk (ed.), Conference Record - 19th Asilomar Conference on Circuits, Systems and Computers, ACSSC 1985., 671424, Conference Record - Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society, pp. 73-77, 19th Asilomar Conference on Circuits, Systems and Computers, ACSSC 1985, Pacific Grove, United States, 11/6/85. https://doi.org/10.1109/ACSSC.1985.671424

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abstract = "This paper presents an analytical evaluation of detection (determination of the number of sources) and estimation performances of narrowband signal-subspace processing for multiple-source direction finding. The probabilities of underestimating and overestimating the number of sources are derived, under asymptotic conditions, in terms of the choice of a penalty function and signal, noise and array parameters for the cases of at most two closely-spaced sources in the spatially white noise. A scalar measured is introduced for the evaluation of the quality of the estimated signalsubspace. Based on the statistics of this measure performance thresholds are demonstrated for the signal-to-noise ratio, angle separation and correlation between two equipowered sources.",

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AB - This paper presents an analytical evaluation of detection (determination of the number of sources) and estimation performances of narrowband signal-subspace processing for multiple-source direction finding. The probabilities of underestimating and overestimating the number of sources are derived, under asymptotic conditions, in terms of the choice of a penalty function and signal, noise and array parameters for the cases of at most two closely-spaced sources in the spatially white noise. A scalar measured is introduced for the evaluation of the quality of the estimated signalsubspace. Based on the statistics of this measure performance thresholds are demonstrated for the signal-to-noise ratio, angle separation and correlation between two equipowered sources.

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On the performance characterization of signal-subspace processing

Abstract

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