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ICASSP
2009
IEEE

Using complex-valued ICA to efficiently combine radar polarimetric data for target detection

10 years 4 months ago
Using complex-valued ICA to efficiently combine radar polarimetric data for target detection
Target detection in sea clutter is a challenging problem in radar detection, specifically, when the Doppler return of the target and clutter are collocated. Polarization diverse radars provide additional information that enhances target detection. In this paper, we use an effective independent component analysis (ICA) approach, adaptive complex maximization of non-Gaussianity (A-CMN) [1], to efficiently combine polarimetric radar data prior to detection. We show that A-CMN estimates the polarimetric scatter coefficients for the single target in clutter case, thereby providing matched-filter performance without the need for clutter or target models. The detection performance using ICA is evaluated with sea clutter collected with the McMaster IPIX radar off the coast of Canada [2]. We also demonstrates the ability of this approach to adapt to the changing sea clutter conditions using simulation results.
Mike Novey, Tülay Adali
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Mike Novey, Tülay Adali
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