Array shape calibration using eigenstructure methods

Anthony J. Weiss; Benjamin Friedlander

doi:10.1109/acssc.1989.1201033

Array shape calibration using eigenstructure methods

Anthony J. Weiss^*, Benjamin Friedlander

^*Corresponding author for this work

School of Electrical Engineering

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

Abstract

Sensor location uncertainty can severely degrade the accuracy of direction-finding systems. An eigenstructure-based method for simultaneously estimating directions of arrival (DOA) and sensor locations is developed to alleviate this problem. The technique does not require calibration sources at known positions, and can handle nondisjoint sources (i.e., sources occupying the same frequency band and the same time interval). The procedure is guaranteed to converge. Numerical examples and Monte Carlo simulations are used to study the performance of the proposed technique.

Original language	English
Title of host publication	Twenty Third Annu Asilomar Conf Signal Syst Comput
Publisher	Publ by Maple Press, Inc
Pages	925-929
Number of pages	5
ISBN (Print)	0929029301
DOIs	https://doi.org/10.1109/acssc.1989.1201033
State	Published - 1989
Event	Twenty-Third Annual Asilomar Conference on Signals, Systems & Computers - Pacific Grove, CA, USA Duration: 30 Oct 1989 → 1 Nov 1989

Publication series

Name	Conference Record - Asilomar Conference on Circuits, Systems & Computers
Volume	2
ISSN (Print)	0736-5861

Conference

Conference	Twenty-Third Annual Asilomar Conference on Signals, Systems & Computers
City	Pacific Grove, CA, USA
Period	30/10/89 → 1/11/89

Access to Document

10.1109/acssc.1989.1201033

Cite this

@inproceedings{3e918160fe404d5ab68638bf72f9393c,

title = "Array shape calibration using eigenstructure methods",

abstract = "Sensor location uncertainty can severely degrade the accuracy of direction-finding systems. An eigenstructure-based method for simultaneously estimating directions of arrival (DOA) and sensor locations is developed to alleviate this problem. The technique does not require calibration sources at known positions, and can handle nondisjoint sources (i.e., sources occupying the same frequency band and the same time interval). The procedure is guaranteed to converge. Numerical examples and Monte Carlo simulations are used to study the performance of the proposed technique.",

author = "Weiss, {Anthony J.} and Benjamin Friedlander",

year = "1989",

doi = "10.1109/acssc.1989.1201033",

language = "אנגלית",

isbn = "0929029301",

series = "Conference Record - Asilomar Conference on Circuits, Systems & Computers",

publisher = "Publ by Maple Press, Inc",

pages = "925--929",

booktitle = "Twenty Third Annu Asilomar Conf Signal Syst Comput",

note = "null ; Conference date: 30-10-1989 Through 01-11-1989",

}

Weiss, AJ & Friedlander, B 1989, Array shape calibration using eigenstructure methods. in Twenty Third Annu Asilomar Conf Signal Syst Comput. Conference Record - Asilomar Conference on Circuits, Systems & Computers, vol. 2, Publ by Maple Press, Inc, pp. 925-929, Twenty-Third Annual Asilomar Conference on Signals, Systems & Computers, Pacific Grove, CA, USA, 30/10/89. https://doi.org/10.1109/acssc.1989.1201033

Array shape calibration using eigenstructure methods. / Weiss, Anthony J.; Friedlander, Benjamin.

Twenty Third Annu Asilomar Conf Signal Syst Comput. Publ by Maple Press, Inc, 1989. p. 925-929 (Conference Record - Asilomar Conference on Circuits, Systems & Computers; Vol. 2).

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

TY - GEN

T1 - Array shape calibration using eigenstructure methods

AU - Weiss, Anthony J.

AU - Friedlander, Benjamin

PY - 1989

Y1 - 1989

N2 - Sensor location uncertainty can severely degrade the accuracy of direction-finding systems. An eigenstructure-based method for simultaneously estimating directions of arrival (DOA) and sensor locations is developed to alleviate this problem. The technique does not require calibration sources at known positions, and can handle nondisjoint sources (i.e., sources occupying the same frequency band and the same time interval). The procedure is guaranteed to converge. Numerical examples and Monte Carlo simulations are used to study the performance of the proposed technique.

AB - Sensor location uncertainty can severely degrade the accuracy of direction-finding systems. An eigenstructure-based method for simultaneously estimating directions of arrival (DOA) and sensor locations is developed to alleviate this problem. The technique does not require calibration sources at known positions, and can handle nondisjoint sources (i.e., sources occupying the same frequency band and the same time interval). The procedure is guaranteed to converge. Numerical examples and Monte Carlo simulations are used to study the performance of the proposed technique.

UR - http://www.scopus.com/inward/record.url?scp=0024813507&partnerID=8YFLogxK

U2 - 10.1109/acssc.1989.1201033

DO - 10.1109/acssc.1989.1201033

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:0024813507

SN - 0929029301

T3 - Conference Record - Asilomar Conference on Circuits, Systems & Computers

SP - 925

EP - 929

BT - Twenty Third Annu Asilomar Conf Signal Syst Comput

PB - Publ by Maple Press, Inc

Y2 - 30 October 1989 through 1 November 1989

ER -

Array shape calibration using eigenstructure methods

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this