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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 322))

Abstract

This paper studies genuine and dummy ballistic warheads identification using multiple-input and multiple-output (MIMO) radar. State space model (SSM) is used to describe the kinetic characteristics of the warheads. Identification of the genuine and dummy warheads is accomplished by solving a binary hypothesis testing problem. Sequential detection method is employed. Since sophisticated dummy warhead are made very similar to the genuine one, it is very difficult for conventional sequential detectors to tell them from the genuine ones. We consider to employ locally optimal unknown direction (LOUD) test, which has been proved to have the advantage of distinguishing small differences. Sequential LOUD (SLOUD) test is proposed. It is shown that the performance of the SLOUD test based identification method is superior than the sequential detection method based on the conventional mismatched likelihood ratio (LR) test or the generalized LR (GLR) test.

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Notes

  1. 1.

    Assume the SSM system parameters are known for the genuine warheads based on some preprocessing or the available data base.

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Acknowledgements

This work was supported by the National Nature Science Foundation of China under Grants 61102142, 61032010, and 61371184, the International Science and Technology Cooperation and Exchange Research Program of Sichuan Province under Grant 2013HH0006, and the Fundamental Research Funds for the Central Universities under Grant ZYGX2013J015.

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Correspondence to Qian He .

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Wang, X., He, Q., Cai, D. (2015). Sequential LOUD Test for Genuine and Dummy Warhead Identification Using MIMO Radar. In: Mu, J., Liang, Q., Wang, W., Zhang, B., Pi, Y. (eds) The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-08991-1_20

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  • DOI: https://doi.org/10.1007/978-3-319-08991-1_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08990-4

  • Online ISBN: 978-3-319-08991-1

  • eBook Packages: EngineeringEngineering (R0)

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