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Performance evaluation of a non-linear error model for underwater range computation utilizing GPS sonobuoys

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Abstract

Deployed from an airborne platform or a surface vessel, arrays of GPS sonobuoys can be used to efficiently track and localize submarines. The range of the target of interest can be monitored with the deployed sonobuoys. However, the accuracy deteriorates when the target is on the detection range of only one sonobuoy. The objective of this research is to improve the range computation of the target of interest by establishing a non-linear error model for range error using adaptive neuro-fuzzy inference systems (ANFIS), which has the capabilities of dealing with data of high level of uncertainty and the advantage of being based on neural computation. Furthermore, the performance of the proposed model is examined with both experimental real field data and contact-level simulation data considering different scenarios for both the array of GPS sonobuoys and the target. The results discuss merits and the limitations of the proposed method.

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Acknowledgments

This research is funded in part by (1) the Department of National Defense through the Aerospace Engineering Research Advisory Committee and by the Natural Science and Engineering Research Council—NSERC for second and third authors, (2) the Smart Engineering System, University Kebangsaan Malaysia, Malaysia. The SEABAR’07 sea trial was held by the NATO Undersea Research Centre (NURC). The SEABAR’07 data were made available under agreement with NURC and Defence Research and Development Canada—Atlantic.

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Authors and Affiliations

  1. Civil and Structural Engineering Department, University Kebangsaan Malaysia, UKM, Bangi, Malaysia

    Ahmed El-Shafie

  2. Department of Geomatics Engineering, University of Calgary, Calgary, AB, Canada

    Abdalla Osman

  3. Department of Electrical and Computer Engineering, Royal Military College, Kingston, ON, Canada

    Aboelmagd Noureldin

  4. Electric, Electronics Systems Engineering Department, University Kebangsaan Malaysia, UKM, Bangi, Malaysia

    Aini Hussain

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  1. Ahmed El-Shafie
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Correspondence to Ahmed El-Shafie.

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El-Shafie, A., Osman, A., Noureldin, A. et al. Performance evaluation of a non-linear error model for underwater range computation utilizing GPS sonobuoys. Neural Comput & Applic 19, 1057–1067 (2010). https://doi.org/10.1007/s00521-010-0340-5

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  • DOI: https://doi.org/10.1007/s00521-010-0340-5

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