The Rao and Wald Tests Designed for Distributed Targets with Polarization MIMO Radar in Compound-Gaussian Clutter |
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Authors: | Guolong Cui Lingjiang Kong Xiaobo Yang Jianyu Yang |
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Affiliation: | 1. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu City, China
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Abstract: | In high resolution radars, the distributed target is usually modeled as a few isolated points referred to multiple dominant
scattering centers, while the clutter is a compound-Gaussian model. Additionally, the polarimetric diversity can be exploited
to enhance detection performance. Motivated by extending the detection problem of multiple-input multiple-output (MIMO) radar
to such cases, this paper mainly addresses distributed targets detection problem with polarization MIMO radar against a compound-Gaussian
clutter dominated scenario with unknown covariance matrix. The adaptive detectors based on Rao and Wald criteria are studied,
and a two-step design procedure is adopted. Specifically, the Rao and Wald tests are derived by assuming a known covariance
matrix, and then a suitable estimation of the covariance matrix based on the secondary data is inserted into the derived detectors
to make them fully adaptive. Some numerical results are presented together with a polarization generalized likelihood ratio
test (GLRT), showing that the derived detectors provide excellent detection performance in spiky clutter for distributed targets,
and that the polarimetric diversity can be exploited to improve detection performance. Overall, the Wald test performs the
best. |
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Keywords: | |
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