Frequency estimation of satellite-based automatic identification system signals

Article type: Research Article

Authors: Ma, Shexiang^* | Guo, Xin

Affiliations: School of Computer and Communication Engineering, Tianjin University of Technology, Tianjin, China

Correspondence: [*] Corresponding author: Shexiang Ma, School of Computer and Communication Engineering, Tianjin University of Technology, Tianjin Xiqing District, Binshui West Street No. 391, Tianjin, China. Tel./Fax: +86 022 60214099; E-mail:masx_tjut@126.com

Abstract: In this paper, a method of frequency estimation is presented for solving the problem of larger Doppler frequency offset in satellite-based Automatic Identification System (AIS). It takes the advantage of the autocorrelation function of signals to calculate the initial value of frequency offset estimation. By deriving the initial value estimation range, a set of possible frequency offset can be got. It uses the maximum likelihood theory to determine the exact estimator from the set. Computer simulations shows that the proposed method has better estimation performance, and frequency offset estimation error will be restricted in 100 Hz when signal-to-noise ratio is 0 dB, which is demanded in the satellite-based AIS. Additionally, its estimation range can be expanded to ± 4 KHz on Additive White Gaussian Noise channels

Keywords: Satellite-based automatic identification system, frequency estimation, maximum likelihood, training sequence

DOI: 10.3233/JCM-160599

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 16, no. 1, pp. 29-37, 2016