Recognition of OFDM and SCLD signals based on second-order statistics

Abstract

This work addresses the problem of the modulation recognition signal in the context of cognitive radio. In particular, the discrimination between OFDM (Orthogonal Frequency Division Multiplexing) and SCLD (Single Carrier Linear Digitally) signals. We present a new method based on second order statistics. The main advantages of this method are fast, robust in a context of AWGN (Additive White Gaussian Noise) channel, frequency and timing offsets. Computer simulations are provided in order to illustrate the behavior of the proposed algorithm.