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 language | English |
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Pages (from-to) | 2247-2252 |
Number of pages | 6 |
Journal | Tien Tzu Hsueh Pao/Acta Electronica Sinica |
Volume | 42 |
Issue number | 11 |
DOIs | |
State | Published - 1 Nov 2014 |
Keywords
- Doppler signal
- Instantaneous frequency estimate (IF)
- Matched Wigner transform
- Polynomial phase signal (PPS)
- Time-frequency distribution (TFD)