Adaptive Double Subspace Signal Detection in Gaussian Background—Part II: Partially Homogeneous Environments

@article{Liu2014AdaptiveDS,
  title={Adaptive Double Subspace Signal Detection in Gaussian Background—Part II: Partially Homogeneous Environments},
  author={Weijian Liu and Wenchong Xie and Jun Liu and Yongliang Wang},
  journal={IEEE Transactions on Signal Processing},
  year={2014},
  volume={62},
  pages={2358-2369}
}
In this part of the paper, we continue to study the problem of detecting a double subspace signal in Gaussian noise. Precisely, we address the detection problem in partially homogeneous environments, where the primary and secondary data share the same covariance matrix up to an unknown scaling factor. We derive the generalized likelihood ratio test (GLRT… CONTINUE READING