PROJECT TITLE :

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

ABSTRACT:

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


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