Abstract
To get the detailed characteristics of two way automatic communication system (TWACS) inbound signal from industry power line with high disturbance, some time-frequency analysis methods are studied. Analyzing the principle and realizing process of each method, the corresponding simulation results are also given. In addition, the criterion and condition of each method are compared. Simulation results and theoretical analysis demonstrate that complex wavelet is the best time-frequency analysis method for detecting the inbound signal of TWACS.
| Original language | English |
|---|---|
| Pages (from-to) | 839-841 |
| Number of pages | 3 |
| Journal | Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology |
| Volume | 37 |
| Issue number | 6 |
| State | Published - Jun 2005 |
| Externally published | Yes |
Keywords
- Complex wavelet
- Short time Fourier transform
- Time-frequency analysis
- Two way automatic communication system
- Wigner distribution
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