Title :
Ricean K-factor estimation in mobile communication systems
Author :
Azemi, Ghasem ; Senadji, Bouchra ; Boashash, Boualem
Author_Institution :
Dept. of Electr. Eng., Razi Univ., Kermanshah, Iran
Abstract :
We propose an estimator for the Ricean K-factor which has applications in mobile communication systems. The estimator is based on the statistics of the instantaneous frequency (IF) of the received signal. Using simulations, we show that the proposed estimator is robust to shadowing and its mean-square error (MSE) is significantly lower than that of the envelope-based estimators.
Keywords :
Rician channels; frequency estimation; mean square error methods; mobile radio; statistics; IF statistics; MSE; Ricean K-factor estimation; instantaneous frequency statistics; mean-square error; mobile communication systems; shadowing robustness; Distributed computing; Fading; Frequency estimation; Mobile communication; Probability distribution; Radio propagation; Rayleigh channels; Robustness; Shadow mapping; Statistics; $K$ -factor; Channel quality; Rice factor; estimation; instantaneous frequency;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2004.835344
