Title :
Blind phase recovery in QAM communication systems using characteristic function
Author :
Sadi, Ehsan Hassani ; Amindavar, Hamidreza
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
In this paper, we present a novel non-data aided method for phase recovery in both square and cross quadrature amplitude modulation (QAM) communication systems, based on characteristic function. The proposed method is independent of noise distribution added to the rotated signal. After estimating the gain multiplied to the received signal and compensating its effect, we will estimate the phase offset. The key innovation lies in the use of characteristic function rather than the traditional higher order statistics. We use characteristic function and its estimate (Empirical Characteristic Function-ECF), in order to perform phase estimation. The analytical evaluation of the estimation is provided. Monte Carlo simulation provides feasibility of our new approach.
Keywords :
Monte Carlo methods; phase estimation; quadrature amplitude modulation; signal processing; Monte Carlo simulation; QAM communication system; blind phase recovery; cross quadrature amplitude modulation communication systems; noise added distribution; received signal; rotated signal; Communication systems; Equalizers; Higher order statistics; Quadrature amplitude modulation; Root mean square; Signal to noise ratio; Characteristic function; phase estimation; quadrature amplitude modulation; synchronization;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5946845