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      Passive Polarimetric Multistatic Radar Detection of Moving Targets

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          Abstract

          We study the exploitation of polarimetric diversity in passive multistatic radar for detecting moving targets. We first derive a data model that takes into account polarization and anisotropy of targets inherent in multistatic configurations. Unlike conventional isotropic models in which targets are modeled as a collection of uniform spheres, we model targets as a collection of dipole antennas with unknown directions. We consider a multistatic configuration in which each receiver is equipped with a pair of orthogonally polarized antennas, one directed to a scene of interest collecting target-path signal and another one having a direct line-of-sight to a transmitter-of-opportunity collecting direct-path signal. We formulate the detection of moving target problem in a generalized likelihood ratio test framework under the assumption that direct-path signal is available. We show that the result can be reduced to the case in which the direct-path signal is absent. We present a method for estimating the dipole moments of targets. Extensive numerical simulations show the performance of both the detection and the dipole estimation tasks with and without polarimetric diversity.

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          Most cited references7

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          A review of target decomposition theorems in radar polarimetry

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            Techniques for Handling Elliptically Polarized Waves with Special Reference to Antennas: Part II-Geometrical Representation of the Polarization of a Plane Electromagnetic Wave

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              DVB-T Passive Radar Signal Processing

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                Author and article information

                Journal
                2017-06-28
                Article
                1706.09369
                13fc4825-8672-4e17-957e-d6a555c2f533

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                21 pages, submitted to IEEE Trans. Signal Processing
                cs.CE

                Applied computer science
                Applied computer science

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