• DocumentCode
    1116067
  • Title

    Data-record size requirements for adaptive space-time DS-CDMA signal detection

  • Author

    Psaromiligkos, Ioannis N. ; Batalama, Stella N.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que., Canada
  • Volume
    52
  • Issue
    9
  • fYear
    2004
  • Firstpage
    1538
  • Lastpage
    1546
  • Abstract
    We investigate the data-record size requirements of sample-matrix-inversion-based minimum-variance-distortionless response and maximum-signal-to-interference-plus-noise-ratio adaptive algorithms to meet a given performance objective in joint space-time signal-detection problems for direct-sequence code-division multiple-access systems. We derive closed-form expressions that provide the data-record size that is necessary to achieve a given performance confidence level in a neighborhood of the optimal performance point, as well as expressions that identify the performance level that can be reached for a given data-record size. This is done by using close approximations of the involved probability density functions. The practical significance of the derived expressions lies in the fact that the expressions are functions of the number of antenna elements, the number of multipaths, and the system spreading gain only, while they depend neither on the ideal input covariance matrix, which is not known in most realistic applications, nor on the exact ideal performance value.
  • Keywords
    AWGN channels; adaptive signal detection; antenna arrays; code division multiple access; covariance matrices; data recording; error statistics; fading channels; filtering theory; interference suppression; mobile radio; multipath channels; probability; space-time adaptive processing; spread spectrum communication; AWGN channels; adaptive space-time DS-CDMA signal detection; antenna arrays; covariance matrix; data-record size requirements; direct-sequence code-division multiple-access systems; error statistics; fading channels; finite data analysis; interference suppression; maximum-signal-to-interference-plus-noise-ratio algorithm; multipath channels; probability density functions; sample-matrix-inversion-based minimum variance-distortionless response; AWGN; Bit error rate; Fading; Interference; Multiaccess communication; Nonlinear filters; Signal detection; Signal processing; Signal to noise ratio; Statistics; Antenna arrays; CDMA; code-division multiple access; finite data analysis; interference suppression;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2004.833066
  • Filename
    1337219