Title :
Adaptive blind estimation and track of the carrier frequency offset of digital communication system
Author :
Dai, Xianhua ; Shi, Yun Q.
Author_Institution :
Dept. of Electr. Eng., Shantou Univ., China
Abstract :
Carrier frequency offset (CFO) is a basic problem arising in many digital communication systems. In this paper, we propose a new adaptive blind CFO estimation scheme. Unlike the cyclic moment CFO estimation (batching processing), the CFO is estimated and tracked using the least square adaptive algorithm. Thus, it can fully cancel the CFO influence, and give a CFO-free estimation of the transmitted sequence. Moreover, it has a capability of tracking the time-varying CFO.
Keywords :
adaptive estimation; digital communication; frequency estimation; least mean squares methods; adaptive blind CFO estimation; carrier frequency offset estimation; cyclic moment CFO estimation; digital communication system; least square adaptive algorithm; time varying CFO; Adaptive algorithm; Additive noise; Communication systems; Demodulation; Digital communication; Frequency estimation; Least squares approximation; Local oscillators; Transmitters; USA Councils;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1281134
