HOME JOURNALS CONTACT

Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 22 | Page No.: 6849-6851
DOI: 10.3923/itj.2013.6849.6851
Accuracy Analysis of Automatic Identification System Position Estimation
Yi Jiang, Shufang Zhang and Dongkai Yang

Abstract: Time of Arrival (TOA) and Time Difference of Arrival (TDOA) techniques can be used in automatic identification system (AIS) providing ship position information. Which technique should be selected is decided by its positioning accuracy. This study presents accuracy analysis of different positioning techniques used in AIS, including TOA, TDOA and TOA without time synchronization. Position accuracy is derived and analyzed based on positioning models from a Line of Position (LOP) point of view. According to these analysis results it is hard to say TOA or TDOA has the higher accuracy which is depends on the distribution of the base stations. The accuracy of TDOA is always higher than TOA without time synchronization. The simulation results verify the above conclusions.

Fulltext PDF

How to cite this article
Yi Jiang, Shufang Zhang and Dongkai Yang, 2013. Accuracy Analysis of Automatic Identification System Position Estimation. Information Technology Journal, 12: 6849-6851.

Keywords: Automatic identification system, positioning accuracy, time of arrival, time difference of arrival, time synchronization and line of position

REFERENCES

  • Guo, L., 2012. Scatterer distribution based on TOA/AOA and TOA/AOD. J. Convergence Inform. Technol. Adv. Inst. Convergence Inform. Technol., 7: 83-91.


  • Hu, Q., S.F. Zhang, J.B. Zhang and E.S. Wang, 2009. A new automatic identification system (AIS) model-MIP-AIS. Acta Electronica Sinica, 37: 1185-1191.
    Direct Link    


  • Jhi, H.L., J.C. Chen, C.H. Lin and C.T. Huang, 2012. A factor-graph-based TOA location estimator. IEEE Trans. Wireless Commun., 11: 1764-1773.
    CrossRef    


  • Lee, H.K., H.S. Kim, J.Y. Shim and M.B. Heo, 2011. Analytic equivalence of iterated TOA and TDOA techniques under structured measurement characteristics. Multidimensional Syst. Signal Process., 22: 361-377.
    CrossRef    


  • Li, C., W. Liu and Z. Fu, 2010. GPS/TDOA hybrid location algorithm based on federal kalman filter. J. Convergence Inform. Technol. Adv. Inst. Convergence Inform. Technol., 5: 42-48.


  • Reininger, S., 2001. AIS: The Next Necessity. Vol. 106, Simmons-Boardman Publishing Corporation, Marine Log, New York, pp: 23-29


  • Yu, K., J.P. Montillet, A. Rabbachin, P. Cheong and I. Oppermann, 2006. UWB location and tracking for wireless embedded networks. Signal Process., 86: 2153-2171.
    CrossRef    


  • Zhen, J., X.H. Ma and S.F. Zhang, 2005. TOA-based combined location positioning algorithm in NLOS propagation environment. J. Dalian Univ. Technol., 45: 599-602.


  • Zhu, Y., D. Huang and A. Jiang, 2008. Network localization using angle of arrival. Proceedings of the IEEE International Conference on Electro/Information Technology, May 18-20, 2008, Ames, IA., pp: 205-210.

  • © Science Alert. All Rights Reserved