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Non-parametric techniques for the estimation of spatial spectra in non-stationary environments

Non-parametric techniques for the estimation of spatial spectra in non-stationary environments
Non-parametric techniques for the estimation of spatial spectra in non-stationary environments
A novel approach to the problem of estimating a spatial spectrum in a non-stationary environment has been presented. The approach adopted relies on the same principle as that which underpins the Wigner distribution. The proposed methodology results in the construction of a new sufficient statistic that can be used in conjunction with a variety of existing array-processing techniques. The resulting schemes are shown to be robust to source motions. Some of the limitations of this approach have been discussed and how they can be overcome is demonstrated.
184-190
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba

White, P.R. (2007) Non-parametric techniques for the estimation of spatial spectra in non-stationary environments. IET Radar, Sonar & Navigation, 1 (3), 184-190. (doi:10.1049/iet-rsn:20050073).

Record type: Article

Abstract

A novel approach to the problem of estimating a spatial spectrum in a non-stationary environment has been presented. The approach adopted relies on the same principle as that which underpins the Wigner distribution. The proposed methodology results in the construction of a new sufficient statistic that can be used in conjunction with a variety of existing array-processing techniques. The resulting schemes are shown to be robust to source motions. Some of the limitations of this approach have been discussed and how they can be overcome is demonstrated.

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More information

Published date: 2007

Identifiers

Local EPrints ID: 49423
URI: http://eprints.soton.ac.uk/id/eprint/49423
PURE UUID: 2816f6b8-da3a-4446-9562-53889eabfc1a
ORCID for P.R. White: ORCID iD orcid.org/0000-0002-4787-8713

Catalogue record

Date deposited: 12 Nov 2007
Last modified: 11 Jul 2024 01:33

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