• DocumentCode
    417411
  • Title

    Transmit signal design for optimal deconvolution

  • Author

    Tan, Hao ; Zheng, Yibin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Virginia Univ., Charlottesville, VA, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    17-21 May 2004
  • Abstract
    This paper solves the problem of designing successive transmit pulses to minimize the mean squared error of deconvolution in colored noise. The power spectral densities of the signal and noise are known a priori. In the special case of white noise, the analytical solution can be interpreted as the "water-filling" principle for the distribution of transmitted spectral energy. Numerical simulation of a simple example with exponentially correlated target signal and white noise illustrates the benefits of using adaptively designed transmit signals.
  • Keywords
    Wiener filters; adaptive signal processing; deconvolution; least mean squares methods; minimisation; white noise; MMSE deconvolution; Wiener filter; adaptively designed transmit signals; colored noise; estimation error minimization; exponentially correlated target signal; mean squared error minimization; optimal deconvolution; signal/noise power spectral densities; successive transmit pulses; transmit signal design; transmitted spectral energy distribution; water-filling principle; white noise; Convolution; Deconvolution; Kernel; Numerical simulation; Radar applications; Radar imaging; Signal design; Sonar; White noise; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8484-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2004.1326317
  • Filename
    1326317