Abstract
In the last few years, there is a great interest in developing an identification system capable to make a reliable classification of aircrafts into different groups (friendly, hostile or neutral). Depending on the context in which these systems are deployed, incorrect identification may lead to serious problems, such as fratricide or engagement of civilian aircrafts. Different techniques have been researched to face this problem, but non-cooperative ones have awakened more interest because they do not require aircraft collaboration. Non Cooperative Target Identification (NCTI) using radar is a complex task, mainly due to the fact that a database of possible targets is needed. To populate this database, Radar Cross Section (RCS) predictions produced by computer simulation seem to be the most feasible way to perform this task, since measurements alone cannot cover the vast range of targets, configurations and required aspect angles. These predictions are typically performed in the frequency domain and a specific processing must be done to obtain both High Resolution Range Profiles (HRRPs) and 2D Inverse Synthetic Aperture Radar (2D-ISAR) images. This paper shows a methodology to face the NCTI task, which use both synthetic HRRPs and 2D-ISAR to achieve an accurate identification.
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References
Cohen, M.N.: An Overview of Radar-Based Automatic Non Cooperative Target Recognition Techniques. In: IEEE International Conference on Systems Engineering, pp. 29–34 (1991)
Schiler, J., Cranos, R.L.: Non-Cooperative Air Target Identification Using Radar. In: RTO MP-06 (1998)
Rosenbach, R., Schiller, J.: Non Co-Operative Air Target Identification Using Radar Imagery: Identification rate as a function of Signal Bandwidth. In: IEEE International Radar Conference, pp. 305–309 (2000)
Escot-Bocanegra, D., Poyatos-Martínez, D., Fernández-Recio, R., Jurado-Lucena, A., Montiel-Sánchez, I.: New benchmark radar targets for scattering analysis and electromagnetic software validation. Progress In Electromagnetics Research, PIER 88, 39–52 (2008)
Zwart, J.P.: Aircraft Recognition from Features Extracted from Measured and Simulated Radar Range Profiles. PhD Thesis, University of Amsterdam, The Netherlands (2003)
Wehner, R.D.: High Resolution Radar. Ed. Artech House, Norwood (1995)
Chen, V.C., Lipps, R.: ISAR Imaging of Small Craft with Roll, Pitch and Yaw Analysis. In: IEEE International Radar Conference, pp. 493–498 (2000)
Chen, V.C., Micelli, W.J.: Simulation of ISAR Imaging of Moving Target. IEEE Proceedings Radar, Sonar and Navigation, 160–166 (2001)
Jeong, H., Kim, H., Kim, K.: Application of Subarray Averaging and Entropy Minimization Algorithm to Stepped Frequency ISAR Autofocus. IEEE Transactions on Antennas and Propagation, 1144–1154 (2008)
Nelson, D.E., Starzyk, J.A.: Advanced Feature Selection Methodology for Automatic Target Recognition. In: Proceedings of the Twenty-Ninth South-eastern Symposium on System Theory, pp. 24–28 (1997)
Mitchell, R.A., Westerkamp, J.J.: Robust Statistical Feature Based Aircraft Identification. IEEE Transactions on Aerospace and Electronic System, 1077–1094 (1999)
Jiang, N., Wu, R., Li, J.: Super Resolution Feature Extraction of Moving Targets. IEEE Transactions on Aerospace and Electronic Systems, 781–793 (2001)
Li, H., Yang, S.: Using Range Profiles as Feature Vectors to Identify Aerospace Objects. IEEE Transaction on Antennas and Propagation, 261–268 (1993)
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification. Ed. Wiley, Chichester (2000)
Heiden, R.: Aircraft Recognition with Radar Range Profiles. PhD. Thesis, University of Amsterdam, The Netherlands (1998)
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Jurado-Lucena, A., Errasti-Alcalá, B., Escot-Bocanegra, D., Fernández-Recio, R., Poyatos-Martínez, D., Montiel Sánchez, I. (2010). Methodology to Achieve Accurate Non Cooperative Target Identification Using High Resolution Radar and a Synthetic Database. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6096. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13022-9_43
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DOI: https://doi.org/10.1007/978-3-642-13022-9_43
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