@InProceedings{6952772,
  author = {S. Hiltunen and P. Loubaton and P. Chevalier},
  booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
  title = {Asymptotic analysis of a GLRT for detection with large sensor arrays},
  year = {2014},
  pages = {2160-2164},
  abstract = {This paper addresses the performance analysis of two GLRT receivers in the case where the number of sensors M is of the same order of magnitude as the sample size N. In the asymptotic regime where M and N converge towards ∞ at the same rate, the corresponding asymptotic means and variances are characterized using large random matrix theory, and compared to the standard situation where N → +∞ and M is fixed. This asymptotic analysis allows to understand the behavior of the considered receivers, even for relatively small values of N and M.},
  keywords = {array signal processing;matrix algebra;signal detection;statistical testing;GLRT asymptotic analysis;large sensor arrays;GLRT receiver performance analysis;large random matrix theory;signal detection;generalized likelihood test;Standards;Gaussian distribution;Context;Synchronization;Noise;Training;Covariance matrices;Multichannel detection;asymptotic analysis;large random matrices},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925435.pdf},
}

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