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A note on non-Gaussian adaptive array detection and signal parameter estimation

Publication ,  Journal Article
Richmond, CD
Published in: IEEE Signal Processing Letters
December 1, 1996

Kelly's generalized likelihood ratio test (GLRT) statistic is reexamined under a broad class of data distributions known as complex multivariate elliptically contoured (MEC), which include the complex Gaussian as a special case. We show that, mathematically, Kelly's GLRT test statistic is again obtained when the data matrix is assumed MEC distributed. The maximum-likelihood (ML) estimate for the signal parameters - alias the sample-covariance-based (SCB) minimum variance distortionless response beamformer output and, in general, the SCB linearly constrained minimum variance beamformer output - is likewise shown to be the same. These results have significant robustness implications to adaptive detection/estimation/beamforming in non-Gaussian environments.

Duke Scholars

Published In

IEEE Signal Processing Letters

DOI

ISSN

1070-9908

Publication Date

December 1, 1996

Volume

3

Issue

8

Start / End Page

251 / 252

Related Subject Headings

  • Networking & Telecommunications
  • 4603 Computer vision and multimedia computation
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing
 

Citation

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Richmond, C. D. (1996). A note on non-Gaussian adaptive array detection and signal parameter estimation. IEEE Signal Processing Letters, 3(8), 251–252. https://doi.org/10.1109/97.511810
Richmond, C. D. “A note on non-Gaussian adaptive array detection and signal parameter estimation.” IEEE Signal Processing Letters 3, no. 8 (December 1, 1996): 251–52. https://doi.org/10.1109/97.511810.
Richmond CD. A note on non-Gaussian adaptive array detection and signal parameter estimation. IEEE Signal Processing Letters. 1996 Dec 1;3(8):251–2.
Richmond, C. D. “A note on non-Gaussian adaptive array detection and signal parameter estimation.” IEEE Signal Processing Letters, vol. 3, no. 8, Dec. 1996, pp. 251–52. Scopus, doi:10.1109/97.511810.
Richmond CD. A note on non-Gaussian adaptive array detection and signal parameter estimation. IEEE Signal Processing Letters. 1996 Dec 1;3(8):251–252.

Published In

IEEE Signal Processing Letters

DOI

ISSN

1070-9908

Publication Date

December 1, 1996

Volume

3

Issue

8

Start / End Page

251 / 252

Related Subject Headings

  • Networking & Telecommunications
  • 4603 Computer vision and multimedia computation
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing