Experimental results for M-FSK signal classification and parameter estimation

Abstract

Blind signal classification and parameter estimation have important applications in both military and commercial communications. This paper proposes a cyclostationarity-based approach for M-FSK signal classification and estimation of the tone frequency spacing. Relying on the number and position of the first-order cycle frequencies (CFs), the proposed approach requires neither recovery of the carrier and symbol timing, nor estimation of the channel, and signal and noise powers. The performance of this algorithm was investigated using both laboratory and simulation experiments.