DocumentCode :
2124712
Title :
A simplified adaptive Kalman filter algorithm for carrier recovery of M-QAM signals
Author :
Gal, János ; Câmpeanu, Andrei
Author_Institution :
Commun. Dept., Politeh. Univ., Timisoara, Romania
fYear :
2012
fDate :
27-30 Aug. 2012
Firstpage :
303
Lastpage :
307
Abstract :
The paper proposes a carrier synchronization procedure for high-order QAM modulated signals that uses a decision-directed extended Kalman filtering (EKF) technique. The proposed method combines the Kalman filter with a lock detector to establish the status of the synchronization process, modifying adaptively the Kalman filter parameters. As compared with the complete EKF filter, the proposed synchronization algorithm simplifies the Kalman measurement model to a single scalar equation reducing significantly the computational complexity of the algorithm. Simulations show that the simplified Kalman algorithm has equivalent synchronization performances with the complete EKF filter.
Keywords :
adaptive Kalman filters; computational complexity; nonlinear filters; quadrature amplitude modulation; synchronisation; EKF filter; EKF technique; Kalman filter parameters; Kalman measurement model; M-QAM signals; carrier recovery; carrier synchronization procedure; computational complexity; decision-directed extended Kalman filtering technique; equivalent synchronization performance; high-order QAM modulated signals; lock detector; simplified Kalman algorithm; simplified adaptive Kalman filter algorithm; single scalar equation; synchronization algorithm; synchronization process; Adaptation models; Detectors; Kalman filters; Mathematical model; Phase locked loops; Quadrature amplitude modulation; Synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2012 17th International Conference on
Conference_Location :
Miedzyzdrojie
Print_ISBN :
978-1-4673-2121-1
Type :
conf
DOI :
10.1109/MMAR.2012.6347870
Filename :
6347870
Link To Document :
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