Matched Wigner transform and its application to instantaneous frequency estimation

Ling Ji Xu, Yi Xin Yang, Long Yang

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

A novel time-frequency analysis method referred to as matched Wigner transform (MWT) was defined in this paper. By matching bilinear signal kernel with Taylor extended Fourier revolving factor, MWT can produce a time-frequency distribution (TFD) with best concentration and without inner artifacts for mono-component high-order polynomial phase signal (PPS). In addition, an effective parameter and instantaneous frequency (IF) estimation algorithm was proposed based on MWT. The algorithm was validated by simulation examples. Finally, excellent sea experiment results were obtained when applying it to analyze the weak Doppler signal of underwater moving acoustic source.

Original languageEnglish
Pages (from-to)2247-2252
Number of pages6
JournalTien Tzu Hsueh Pao/Acta Electronica Sinica
Volume42
Issue number11
DOIs
StatePublished - 1 Nov 2014

Keywords

  • Doppler signal
  • Instantaneous frequency estimate (IF)
  • Matched Wigner transform
  • Polynomial phase signal (PPS)
  • Time-frequency distribution (TFD)

Fingerprint

Dive into the research topics of 'Matched Wigner transform and its application to instantaneous frequency estimation'. Together they form a unique fingerprint.

Cite this