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Clutter suppression method for heterogeneous environment
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AI
DOI：10.1016/j.aeue.2010.01.014.png)
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Clutter suppression is a key process in ground moving target indication (GMTI). Adaptive filtering is an effective method for clutter suppression but the performance degrades severely in heterogeneous clutter environment. To solve this problem, a new clutter suppression method is proposed. The approach uses subspace tracking technique to update clutter subspace of different clutter patches which may mitigating the heterogeneous effects. Simulation results illustrate that the method performs well when lacking of the independent and identically distributed (i.i.d.) samples. (C) 2010 Elsevier GmbH. All rights reserved.
Keyword:
Synthetic aperture radar (SAR)
Ground moving target indication (GMTI)
Heterogeneous clutter
Subspace tracking
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A
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3.2
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5.6K
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