• DocumentCode
    1707119
  • Title

    An adaptive-kernel design method based on ambiguity domain

  • Author

    Hong, Zou ; Zheng, Bao

  • Author_Institution
    Key Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
  • fYear
    1998
  • Firstpage
    197
  • Lastpage
    200
  • Abstract
    In bilinear time-frequency distributions (TFD), cross-terms resulting from multi-components are suppressed by choosing or designing appropriate kernels. With years of study, signal-adaptive kernels are becoming more promising for time-frequency analysis of different kinds of signals than fixed ones. An adaptive-kernel design method is proposed with respect to LFM (linear frequency-modulated) signals by use of signal ambiguity functions. The estimation of adaptive parameters is discussed, and its corresponding time-frequency distribution called adaptive exponential distribution (AED) is analyzed. Computer simulation with synthetic data shows satisfactory effect of AED in suppressing cross-terms and preserving good resolution of signal-terms
  • Keywords
    adaptive estimation; adaptive signal processing; exponential distribution; frequency modulation; signal resolution; signal synthesis; time-frequency analysis; AED; LFM signals; TFD; adaptive exponential distribution; adaptive parameter estimation; adaptive-kernel design method; ambiguity domain; bilinear time-frequency distributions; computer simulation; cross-terms suppression; linear frequency-modulated signals; multi-components; signal ambiguity functions; signal resolution; signal-adaptive kernels; synthetic data; time-frequency analysis; Design methodology; Frequency modulation; Kernel; Parameter estimation; Radar signal processing; Signal analysis; Signal design; Signal resolution; Smoothing methods; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on
  • Conference_Location
    Pittsburgh, PA
  • Print_ISBN
    0-7803-5073-1
  • Type

    conf

  • DOI
    10.1109/TFSA.1998.721395
  • Filename
    721395