Title :
New data-aided frequency estimation algorithm based on discriminator for GMSK signals
Author_Institution :
Inst. of Commun. Eng., Jiangsu, China
Abstract :
Data-aided frequency estimation algorithm has good performance of mean square error (MSE) than non-data-aided frequency estimation algorithm while its estimation range is smaller than the latter. This paper presents a new data-aided frequency estimation algorithm based on discriminator for GMSK signals, which treats GMSK signal as digital FM signal. Simulations are carried out and results show that this scheme can reach large estimation range about /spl plusmn/0.5 * (1/T) while the frequency MSE is close to MCRB.
Keywords :
digital signals; discriminators; frequency estimation; frequency modulation; mean square error methods; minimum shift keying; GMSK signals; Gaussian filtered minimum shift keying; MSE; digital FM signal; digital frequency modulation signal; discriminator; mean square error; nondata-aided frequency estimation algorithm; Continuous phase modulation; Correlators; Frequency domain analysis; Frequency estimation; Frequency modulation; Frequency synchronization; Low earth orbit satellites; Matched filters; Mean square error methods; Satellite communication;
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.2003.1281213
