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A Pattern Recognition Wiener Filter for Realistic Clutter Backgrounds

journal contribution
posted on 2023-06-07, 22:47 authored by Sovira Tan, Rupert YoungRupert Young, David M Budgett, John D Richardson, Chris ChatwinChris Chatwin
The Wiener filter can be used in place of the matched filter in correlation based pattern recognition. It has been shown to be capable of detecting a target in severe clutter backgrounds provided the clutter power spectrum is included in the filter transfer function. It is shown here that the performance degrades very markedly if a different background from that used to create the filter is present at the input. However, multiple input scene power spectrum averaging is shown to considerably improve the performance, even when previously unknown backgrounds are encountered that have not been included in the averaged spectrum. This leads to the generation of a clutter power spectrum model and it is shown that use of this in the filter transfer function allows much improved clutter resistance when unknown background scenes are encountered, improving the prospects for the practical application of the filter to demanding pattern recognition problems.

History

Publication status

  • Published

Journal

Optics Communications

ISSN

00304018

Publisher

Optics Communications

Issue

1

Volume

172

Page range

193-202

ISBN

0030-4018

Department affiliated with

  • Engineering and Design Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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