High-Resolution Radar Detection in Interference and Nonhomogeneous Noise

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Abstract
This letter addresses the problem of high-resolution radar detection in interference and nonhomogeneous noise. The target signal and interference lie in two linearly independent known subspaces, but with unknown coordinate. The noise is modeled by a compound-Gaussian process with unknown covariance matrix and random texture. According to the two-step generalized likelihood ratio test-based design approach, we derive a distributed target detector. Numerical examples show that the proposed detector can provide better detection performance than their counterparts in nonhomogeneous environments.
Funding Information
  • National Basic Research Program of China (2011CB707001)
  • Natural Science Foundation of China (61231017, 61501505)

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