Enhanced target versus clutter discrimination using time-frequency (LTV) filters

Vikram Thiruneermalai Gomatam; Patrick Loughlin

doi:10.1117/12.2177253

22 May 2015 Enhanced target versus clutter discrimination using time-frequency (LTV) filters

Vikram Thiruneermalai Gomatam, Patrick Loughlin

Proceedings Volume 9476, Automatic Target Recognition XXV; 94760G (2015) https://doi.org/10.1117/12.2177253
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

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.

Citation Download Citation

Vikram Thiruneermalai Gomatam and Patrick Loughlin "Enhanced target versus clutter discrimination using time-frequency (LTV) filters", Proc. SPIE 9476, Automatic Target Recognition XXV, 94760G (22 May 2015); https://doi.org/10.1117/12.2177253

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