An Invariant Approach to Adaptive Radar Detection Under Covariance Persymmetry

@article{Maio2015AnIA,
  title={An Invariant Approach to Adaptive Radar Detection Under Covariance Persymmetry},
  author={Antonio De Maio and Danilo Orlando},
  journal={IEEE Transactions on Signal Processing},
  year={2015},
  volume={63},
  pages={1297-1309}
}
In this paper, we propose a systematic and unifying framework to deal with adaptive radar detection in the presence of Gaussian interference sharing a persymmetric covariance structure. First, we determine the group of transformations which leaves the considered hypothesis testing problem unaltered; then, after reduction by sufficiency, we determine a maximal invariant statistic which is a four dimensional vector and significantly compresses the original observation space. Its first two… CONTINUE READING
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