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Proceedings Paper

Enhanced target versus clutter discrimination using time-frequency (LTV) filters
Author(s): Vikram Thiruneermalai Gomatam; Patrick Loughlin
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Paper Abstract

In active sensing such as in sonar and radar, target recognition is adversely impacted by target-like returns from non-target objects (i.e. clutter). Because the target and clutter returns are in general nonstationary, the application of linear time-varying (LTV) pre-filters has been suggested to enhance target classification. We apply a minimum probability of error (MPE) classifier with and without LTV filters to distinguish targets from clutter in active sonar data. Classification performance was improved with LTV filtering.

Paper Details

Date Published: 22 May 2015
PDF: 7 pages
Proc. SPIE 9476, Automatic Target Recognition XXV, 94760G (22 May 2015); doi: 10.1117/12.2177253
Show Author Affiliations
Vikram Thiruneermalai Gomatam, Univ. of Pittsburgh (United States)
Patrick Loughlin, Univ. of Pittsburgh (United States)


Published in SPIE Proceedings Vol. 9476:
Automatic Target Recognition XXV
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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