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Frequency Offset Estimation of Satellite-Based AIS Signals Based on Interpolated FFT

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Abstract

Aimed at addressing the problem of carrier synchronization for satellite-based Automatic Identification System (AIS) signals, a novel data-aided carrier frequency offset estimation method in the intermediate frequency is proposed in this paper. AIS signals use Gaussian Minimum Shift Keying (GMSK) for transmission, and a nonlinearity of the GMSK signal is shown to be a sine wave with frequency related to the carrier frequency offset. Based on that, this method constructs an auxiliary function with the available symbols to avoid the influence of the modulated phase information, and it estimates the frequency offset due to Doppler shift with a new interpolated FFT method. Moreover, this method performs better when the signals are filtered by band pass filter even through the bandwidth is as low as the 1/3 nominal bandwidth. Computer simulations are used to assess the synchronizer performance on AWGN channels.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (No. 61601326) and Tianjin City High School Science & Technology Fund Planning Project (No.20140707). An earlier version of this paper was presented at 2016 IEEE International Conference of Online Analysis and Computing Science.

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Authors and Affiliations

  1. School of Electronic Information Engineering, Tianjin University, Tianjin, 300072, China

    Xin Meng & Jianfu Teng

  2. School of Computer and Communication Engineering, Tianjin University of Technology, Tianjin, 300384, China

    Xin Meng, Chen Liu & Shexiang Ma

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  1. Xin Meng
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  2. Chen Liu
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  3. Jianfu Teng
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  4. Shexiang Ma
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Correspondence to Xin Meng.

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Meng, X., Liu, C., Teng, J. et al. Frequency Offset Estimation of Satellite-Based AIS Signals Based on Interpolated FFT. Wireless Pers Commun 99, 35–45 (2018). https://doi.org/10.1007/s11277-017-5035-0

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  • DOI: https://doi.org/10.1007/s11277-017-5035-0

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