Comparison of GLR and invariant detectors under structured clutter covariance

@article{Kim2001ComparisonOG,
  title={Comparison of GLR and invariant detectors under structured clutter covariance},
  author={Hyung Soo Kim and Alfred O. Hero},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={2001},
  volume={10 10},
  pages={1509-20}
}
This paper addresses a target detection problem in radar imaging for which the covariance matrix of unknown Gaussian clutter has block diagonal structure. This block diagonal structure is the consequence of a target lying along a boundary between two statistically independent clutter regions. Here, we design adaptive detection algorithms using both the generalized likelihood ratio (GLR) and the invariance principles. There has been considerable interest in applying invariant hypothesis testing… CONTINUE READING

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