• DocumentCode
    1864061
  • Title

    Nonunique sinusoidal Vandermonde bases

  • Author

    Cozzens, John H. ; Sousa, Michael J.

  • Author_Institution
    Mitre Corp., Bedford, MA, USA
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    3065
  • Abstract
    A simple constructive procedure is provided for producing unfavorable signal scenarios, that is, collections of fewer than M signals which cannot be resolved by any detection method. Given any pair of integers M and D, with D larger than M/2, and any set of D angles of arrival, it is shown how to produce two distinct signals scenarios for which the corresponding noise-free snapshot matrices are identical. The behavior of several contemporary detection algorithms is illustrated for scenarios whose signal covariance matrices lie in a neighborhood of an unfavorable signal covariance matrix. Detection performance degrades in rather large neighborhoods of these matrices, especially at low signal-to-noise ratios
  • Keywords
    matrix algebra; signal detection; SNR; detection algorithms; detection performance; noise-free snapshot matrices; signal covariance matrices; signal detection; signal-to-noise ratios; sinusoidal Vandermonde bases; unfavorable signal covariance matrix; Capacitive sensors; Capacity planning; Covariance matrix; Degradation; Detection algorithms; Maximum likelihood detection; Sensor arrays; Signal resolution; Signal to noise ratio; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0003-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1991.150102
  • Filename
    150102