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A detector based on order statistics is derived for adaptive detection of the distributed target in spherically invariant random vector clutter. The distributed target, which is modelled as a subspace random signal, may be distributed both in range and also in Doppler frequency axes. Firstly, the deterministic scatterer model generalized likelihood ratio test based on order statistics (OS-DSM-GLRT)...
For the detection problem caused by the point target broken up into the distributed target in the high-range resolution radar system, adaptive detection algorithms based on the Rao and the Wald tests are proposed. The distributed target, which is modeled as a subspace random signal, may be distributed both in range and also in Doppler frequency axes. The clutter is modeled as a spherically invariant...
This paper deals with high-resolution radar (HRR) adaptive detection of range-distributed target embedded in compound-Gaussian clutter which is modeled as a spherically invariant random process (SIRP). Using multiple dominant scattering (MDS) model of range-distributed target, we justify that range-distributed target can be modeled as a subspace random signal. The unknown deterministic parameters...
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