Hybrid TOA-TDOA Positioning Algorithm in AIS

Abstract:

Positioning algorithm in automatic identification system (AIS) is being investigated in the literature due to the importance in safety and national security services. Nowadays, position information in AIS originates from the navigational sensors in extern system. In this paper, we introduce a novel algorithm for ship positioning using both time and time difference estimates, which lead to enhanced versions of the time of arrivals and time difference of arrivals positioning method. Moreover, the accuracy of the proposed hybrid positioning algorithm is evaluated. Finally the simulation results have shown the validity of this novel positioning algorithm.

• Periodical: Advanced Materials Research (Volumes 655-657)
• Pages: 876-881
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.655-657.876
• Online since: January 2013
• Authors: Yi Jiang, Qing Hu, Dong Kai Yang
• Keywords: AIS, Hybrid Algorithm, Time Difference of Arrival (TDOA), Time of Arrivals

References

[1] M. R. Gholami, S. Gezici and E. G. Strom: Improved Position Estimation Using Hybrid TW-TOA and TDOA in Cooperative Networks. IEEE Transactions on Signal Processing, Vol. 60 (2012), pp.3770-3785.

DOI: 10.1109/tsp.2012.2194705

[2] A. Weiss: On the Accuracy of A Cellular Location System Based on RSS Measurements. IEEE Transactions on Vehicular Technology, Vol. 52 (2003), p.1508–1518.

DOI: 10.1109/tvt.2003.819613

[3] Y. Zhu, D. Huang, and A. Jiang: Network Localization Using Angle of Arrival, Proc. IEEE International Conference on Electro/Information Technology (2008), p.205–210.

DOI: 10.1109/eit.2008.4554297

[4] S. Gezici, Z. Tian, G. Giannakis, H. Kobayashi, A. F. Molisch, H. Poor, and Z. Sahinoglu: Localization Via Ultra-wideband Radios: A Look at Positioning Aspects for Future Sensor Networks. IEEE Signal Process, Vol. 22 (2005), p.70–84.

DOI: 10.1109/msp.2005.1458289

[5] I. Guvenc and C. -C. Chong: A Survey on TOA Based Wireless Localization and NLOS Mitigation Techniques. IEEE Communications Surveys and Tutorials, Vol. 11 (2009), p.107–124.

DOI: 10.1109/surv.2009.090308

[6] J. Xu, M. Ma, and C. Law: Position estimation using UWB TDOA measurements. Proc. IEEE International Conference on Ultra-Wideband (2006), p.605–610.

DOI: 10.1109/icu.2006.281617

[7] G. Shen, R. Zetik and R. S. Thoma: Performance Comparison of TOA and TDOA Based Location Estimation Algorithms in LOS Environment. Proc. of 5th workshop on Positioning Navigation and Communication (2008), pp.71-78.

DOI: 10.1109/wpnc.2008.4510359

[8] H. Jhi, J. Chen, C. Lin and C. Huang: A Factor-Graph-Based TOA Location Estimator. IEEE Transactions on Wireless Communications, Vol. 11 (2012), pp.1764-1773.

DOI: 10.1109/twc.2012.040412.110520

[9] H. K. Lee, H. Kim, J. Shim and M. B. Heo: Analytic Equivalence of Iterated TOA and TDOA Techniques Under Structured Measurement Characteristics. Multidim Syst Sign Process, Vol. 22 (2011), pp.361-377.

DOI: 10.1007/s11045-010-0138-8

[10] C. Li, W. Liu and Z. Fu: GPS/TDOA Hybrid Location Algorithm Based on Federal Kalman Filter. JCIT, Vol. 5 (2010), pp.42-48.

DOI: 10.4156/jcit.vol5.issue7.6