Estimation of spatial spectra in a non-stationary environment
Estimation of spatial spectra in a non-stationary environment
The problem of computing the time-bearing representation for data from a sensor array is considered. A novel approach to dealing with situations where the sources are mobile is presented. The methodology adopted is based on ideas borrowed from the field of time-frequency analysis. Through simulations it is demonstrated that the new approach produces time-bearing plots with greater resolution that conventional methods. Further it is demonstrated that this approach yields bearing estimates with smaller variances than can be achieved using conventional techniques.
229-232
European Signal Processing Conference
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
2002
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
White, P.R.
(2002)
Estimation of spatial spectra in a non-stationary environment.
In Proceedings of EUSIPCO 2002: XIth European Signal Processing Conference.
European Signal Processing Conference.
.
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Conference or Workshop Item
(Paper)
Abstract
The problem of computing the time-bearing representation for data from a sensor array is considered. A novel approach to dealing with situations where the sources are mobile is presented. The methodology adopted is based on ideas borrowed from the field of time-frequency analysis. Through simulations it is demonstrated that the new approach produces time-bearing plots with greater resolution that conventional methods. Further it is demonstrated that this approach yields bearing estimates with smaller variances than can be achieved using conventional techniques.
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Published date: 2002
Additional Information:
Session: Parameter Estimation and Statistical Signal Analysis, paper #622
Venue - Dates:
EUSIPCO 2002: XIth European Signal Processing Conference, Toulouse, France, 2002-09-03 - 2002-09-06
Identifiers
Local EPrints ID: 10930
URI: http://eprints.soton.ac.uk/id/eprint/10930
PURE UUID: 905455fd-1384-4f06-aa72-95a9fe87018a
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Date deposited: 01 Jul 2005
Last modified: 11 Jul 2024 01:33
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