Abstract
Conventional spectrum estimation used in transform domain communication systems (TDCS) was realized by complexity DSP devices, which had high power, high cost and poor real-time capability and FMW design can not automatically adapt to real-time changing environmental. In this article, a lower power, lower cost and lower complexity real-time spectrum estimation and adaptive FMW design method based on SAW Chirp filter technology is proposed. The method can reflect information of the real-time environmental and generate FMW with taking the initiative to avoid interference, which can improve the performances of the system. A system model is established and theoretical analysis is given. Stimulation results demonstrate that the proposed method is practicable and provides better performance than the conventional method.
| Original language | English |
|---|---|
| Pages (from-to) | 42-45 |
| Number of pages | 4 |
| Journal | Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology |
| Volume | 40 |
| Issue number | SUPPL. |
| State | Published - Aug 2008 |
Keywords
- Cognitive radio
- Fundamental modulation waveform (FMW)
- Spectral estimation
- Surface acoustic wave (SAW)
- Transform domain communication system (TDCS)
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