Joint Classification and Parameter Estimation of Compressive Sampled FSK Signals |
|---|
| Luca De Vito, Octavia A. Dobre |
- Abstract:
- This paper deals with the classification and parameter estimation of frequency-shift-keying (FSK) signals that are acquired using a compressive sampling approach. Such a technique allows reducing the sampling frequency needs, as the FSK signals are compressible in the frequency domain; the spectrum of FSK signal is sparse, being concentrated to a finite number of harmonics which depend on the modulation order. The classification and parameter estimation rely on the first-order cyclostationarity. The proposed method has been implemented in GNU Octave, and validated in simulation.
- Keywords:
- Modulation classification, parameter estimation, FSK, Compressive sampling, Tone spacing
- Download:
- IMEKO-TC4-2014-999.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- TC4 Symposium 2014
- Title:
20th IMEKO TC4 Symposium on Measurements of Electrical Quantities (together with 18th TC4 International Workshop on ADC and DCA Modeling and Testing, IWADC)
"Research on Electrical and Electronic Measurement for the Economic Upturn"- Place:
- Benevento, ITALY
- Time:
- 15 September 2014 - 17 September 2014