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The Multistatic Sonar Location Problem and Mixed-Integer Programming

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Operations Research Proceedings 2017

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Abstract

A multistatic sonar system consists of one or more sources that are able to emit underwater sound, and receivers that listen to the direct sound as well as its reflected sound waves. From the differences in the arrival times of these sounds, it is possible to determine the location of surrounding objects. The propagation of underwater sound is a complex issue that involves several factors, such as the density and pressure of the water, the salinity and temperature level, as well as the pulse length and volume and the reflection properties of the surface. These effects can be approximated by nonlinear equations. Furthermore, natural obstacles in the water, such as the coastline, need to be taken into consideration. Given a certain area of the ocean that should be endowed with a sonar system for surveillance, we consider the task of determining how many sources and receivers need to be deployed, and where they should be located. We give an integer nonlinear formulation for this problem, and several ways to derive an integer linear formulation from it. These formulations are numerically compared using a test bed from coastlines around the world and a state-of-the-art MIP solver (CPLEX).

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References

  1. Balas, E. (1964). Extension de l’algorithme additif à la programmation en nombres entiers et à la programmation non linéaire. Technical report. Comptes rendus de l’Académie des Sciences, Paris.

    Google Scholar 

  2. Bliek, C., Bonami, P., & Lodi, A. (2014). Solving mixed-integer quadratic programming problems with IBM-CPLEX: A progress report. In Proceedings of the Twenty-Sixth RAMP Symposium Hosei University, Tokyo, October 16–17, 2014.

    Google Scholar 

  3. Fortet, R. (1959). L’algèbre de Boole et ses applications en recherche opérationelle. Cahiers du Centre d’Études de Recherche Opérationelle, 4, 5–36.

    Google Scholar 

  4. Glover, F. (1975). Improved linear integer programming formulations of nonlinear integer problems. Management Science, 22(4), 455–460.

    Article  Google Scholar 

  5. Glover, F., & Woolsey, E. (1974). Converting the 0–1 polynomial programming problem to a 0–1 linear program. Operations Research, 22(1), 180–182.

    Article  Google Scholar 

  6. Karatas, M., & Craparo, E. M. (2015). Evaluating the direct blast effect in multistatic sonar networks using monte carlo simulation. In L. Yilmaz et al. (Eds.), Proceedings of the 2015 Winter Simulation Conference. Piscataway, NJ: IEEE Press.

    Google Scholar 

  7. Karatas, M., Craparo, E. M., & Washburn, A. (2014). A cost effectiveness analysis of randomly placed multistatic sonobuoy fields. In C. Bruzzone et al. (Eds.), The International Workshop on Applied Modeling and Simulation.

    Google Scholar 

  8. Oral, M., & Kettani, O. (1992). A linearization procedure for quadratic and cubic mixed-integer problems. Operations Research, 40(1), 109–116.

    Article  Google Scholar 

  9. Padberg, M. (1989). The Boolean quadric polytope: Some characteristics, facets and relatives. Mathematical Programming, 45, 139–172.

    Article  Google Scholar 

  10. Ryan, W. B. F., Carbotte, S. M., Coplan, J. O., O’Hara, S., Melkonian, A., Arko, R., et al. (2009). Global multi-resolution topography synthesis. Geochemistry, Geophysics, Geosystems, 10(3), Q03014.

    Article  Google Scholar 

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Correspondence to Armin Fügenschuh .

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Craparo, E.M., Fügenschuh, A. (2018). The Multistatic Sonar Location Problem and Mixed-Integer Programming. In: Kliewer, N., Ehmke, J., Borndörfer, R. (eds) Operations Research Proceedings 2017. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-89920-6_67

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