Ricean K-Factor and SNR Estimation for M-PSK Modulated Signals Using the Fourth-Order Cross-Moments Matrix

In wireless communication systems, the Ricean K-factor estimation is required in several applications such as link budget calculations. While the SNR estimation can be used to measure the link quality. In this paper, the Ricean K-factor estimation for M-ary Phase Shift Keying (M-PSK) modulated signals with additive noise is studied. To this end, the Fourth-Order Cross-Moments (FOCM) of the received signal are considered. First, the Signal-to-Noise Ratio (SNR) is computed by estimating the powers of the desired components of the signal and the noise. Then, the K-factor is estimated using the kurtosis of the Ricean channel. Simulation results show that our approach outperforms the most recent developed estimator in the literature.