Noncoherent demodulation of continuous phase modulated signals using Extended Kalman Filtering

The paper addresses the problem of demodulating Continuous Phase Modulation (CPM) signals embedded in Gaussian noise. The paper introduces a description of CPM signals by a state-space model. Based on this model, a noncoherent demodulation method of CPM signals, that uses an Extended Kalman Filter (EKF), was developed. The performances of the demodulation method were tested on two types of CPM modulated signals, embedded in noise: Minimum Shift Keying (MSK) and Gaussian Minimum Shift Keying (GMSK). The results, obtained from simulations performed in MATLAB, leaded to the conclusion that, for moderately low Signal to Noise Ratios (SNR), the EKF algorithm provides satisfactorily even good results in noncoherent demodulation of CPM signals.