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