• DocumentCode
    873716
  • Title

    A note on spatially weighted subarray covariance averaging schemes

  • Author

    Raghunath, K.J. ; Reddy, V.U.

  • Author_Institution
    Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India
  • Volume
    40
  • Issue
    6
  • fYear
    1992
  • fDate
    6/1/1992 12:00:00 AM
  • Firstpage
    720
  • Lastpage
    723
  • Abstract
    In spatial smoothing, the effective correlation among the impinging sources goes to zero only asymptotically with the number of subarrays. K. Takao and N. Kimura (ibid., vol.AP-35, p.1389-96, Dec. 1987) and A. Paulraj et al. (IEEE J. Ocean Eng., vol.OE-12, p.163-72, Jan. 1987) proposed Toeplitzization and adaptively weighted subarray covariance averaging methods, respectively, wherein the impinging sources are perfectly decorrelated whenever the number of subarrays exceeds a minimum value. While both methods achieve the same result, the formulations of the two methods are different. The present work first suggests an alternate formulation of the same problem and then compares the three methods showing that the solutions obtained by them are equivalent
  • Keywords
    correlation methods; signal processing; Toeplitzization; array processing; correlation; impinging sources; signal processing; subarray covariance averaging; weighted spatial smoothing; Additive white noise; Antenna arrays; Array signal processing; Covariance matrix; Decorrelation; Multiple signal classification; Sensor arrays; Smoothing methods; Vectors;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/8.144607
  • Filename
    144607