Doppler shift estimation for space-based AIS signals over satellite-to-ship links
Doppler shift estimation for space-based AIS signals over satellite-to-ship links
As a communication system for maritime monitoring and navigation, automatic identification system (AIS) has been employed for many years, but its service range is limited in 40 nautical miles. Fortunately, an updated service navigation system named as space-based AIS has been presented in recent years, which can provide global coverage service. However, it encounters frequency offset issue caused by the relative satellites/ships motion. To cope with it, in this paper, a novel Doppler shift estimation algorithm is proposed for space-based AIS signals over satellite-to-ship wireless fading channels and non-Gaussian noise. In the estimation stage, the signals including the Doppler shift information are firstly separated from the received ones, but they are also disturbed by the noise. Then, Doppler shift is extracted from the above detached signals via the higher moments which cancel some excrescent parameters by using several flexible algebra operations, and its estimated expression is presented. Finally, numerical simulations are carried out to verify the performance of the proposed method, and simulation results demonstrate the benefits of the suggested scheme.
Doppler shift, GMSK, Rician fading, space-based AIS, satellite to ship links
Wang, Junfeng
9031b7ba-b852-4f8d-9741-db3a4afc69de
Cui, Yue
e29f71e9-9d32-488f-a4af-0aaf45c23aa3
Sun, Haixin
7af149b8-4f08-4068-8662-964388b2715d
Li, Jianghui
9c589194-00fa-4d42-abaf-53a32789cc5e
Zhou, Mingzhang
b66fd02b-3410-40bf-8b1a-eaf0633077c8
Qasem, Zeyad
37f29d37-3a13-494c-868e-85e6179c9fa8
Esmaiel, Hamada
2413020b-5b14-4923-976c-c7eea05ce3a8
Liu, Lanjun
08977e2f-e068-457d-88e9-3af00fb1cad6
Wang, Junfeng
9031b7ba-b852-4f8d-9741-db3a4afc69de
Cui, Yue
e29f71e9-9d32-488f-a4af-0aaf45c23aa3
Sun, Haixin
7af149b8-4f08-4068-8662-964388b2715d
Li, Jianghui
9c589194-00fa-4d42-abaf-53a32789cc5e
Zhou, Mingzhang
b66fd02b-3410-40bf-8b1a-eaf0633077c8
Qasem, Zeyad
37f29d37-3a13-494c-868e-85e6179c9fa8
Esmaiel, Hamada
2413020b-5b14-4923-976c-c7eea05ce3a8
Liu, Lanjun
08977e2f-e068-457d-88e9-3af00fb1cad6
Wang, Junfeng, Cui, Yue, Sun, Haixin, Li, Jianghui, Zhou, Mingzhang, Qasem, Zeyad, Esmaiel, Hamada and Liu, Lanjun
(2019)
Doppler shift estimation for space-based AIS signals over satellite-to-ship links.
IEEE Access.
(doi:10.1109/ACCESS.2019.2921915).
Abstract
As a communication system for maritime monitoring and navigation, automatic identification system (AIS) has been employed for many years, but its service range is limited in 40 nautical miles. Fortunately, an updated service navigation system named as space-based AIS has been presented in recent years, which can provide global coverage service. However, it encounters frequency offset issue caused by the relative satellites/ships motion. To cope with it, in this paper, a novel Doppler shift estimation algorithm is proposed for space-based AIS signals over satellite-to-ship wireless fading channels and non-Gaussian noise. In the estimation stage, the signals including the Doppler shift information are firstly separated from the received ones, but they are also disturbed by the noise. Then, Doppler shift is extracted from the above detached signals via the higher moments which cancel some excrescent parameters by using several flexible algebra operations, and its estimated expression is presented. Finally, numerical simulations are carried out to verify the performance of the proposed method, and simulation results demonstrate the benefits of the suggested scheme.
Text
Doppler Shift Estimation
- Accepted Manuscript
More information
Accepted/In Press date: 3 June 2019
e-pub ahead of print date: 10 June 2019
Keywords:
Doppler shift, GMSK, Rician fading, space-based AIS, satellite to ship links
Identifiers
Local EPrints ID: 431482
URI: http://eprints.soton.ac.uk/id/eprint/431482
ISSN: 2169-3536
PURE UUID: fd85461a-ddff-45f0-82c7-c6dce21eb293
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Date deposited: 05 Jun 2019 16:30
Last modified: 16 Mar 2024 02:07
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Contributors
Author:
Junfeng Wang
Author:
Yue Cui
Author:
Haixin Sun
Author:
Mingzhang Zhou
Author:
Zeyad Qasem
Author:
Hamada Esmaiel
Author:
Lanjun Liu
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