A Novel Classifier for Digital Angle Modulated Signals

Abstract

The identification of the modulation type of an arbitrary noisy signal is necessary in various applications including signal confirmation interference identification spectrum management electronic support systems in warfare electronic counter-counter measures etc In this paper a novel classification scheme based on the variance of instantaneous frequency is proposed to discriminate between noisy M-ary Phase Shift Keyed MPSK and M-ary Frequency Shift Keyed MFSK signals In the proposed method the received signal is passed through a pair of band pass filters and the ratio of variances of instantaneous frequency of the filter outputs is used as a decision statistic Analytic expressions are developed for the decision statistic These expressions show that a high degree of discrimination is possible between PSK and FSK signals even at a carrier-to-noise ratio CNR of 0 dB Simulation studies have been carried out and the theoretical predictions are validated