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NCTI ("Non-Cooperative Target Identification") in a monostatic radar configuration has been investigated extensively within the past years but classification in a bi-/ multistatic configuration does not seem to have obtained much attention to date. Some differences between monostatic and bistatic radar pose challenges to NCTI, which have to be met especially if monostatic and bistatic data or data with differing bistatic angles are to be compared. In this paper these challenges will be discussed and some classification procedures will be introduced. By means of data from turntable measurements of three distinct ground vehicles, which have been conducted at Fraunhofer FHR, the influence of different radar constellations on classification performance will be described.
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Tom
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377--382
Opis fizyczny
Bibliogr. 9 poz., il., wykr.
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autor
autor
- Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR, Neuenahrer Str. 20, D-53343 Wachtberg, Germany, theresa.haumtratz@fhr.fraunhofer.de
Bibliografia
- [1] R. E. Kell, „On the Derivation of Bistatic RCS from Monostatic Measurements”, Proceedings of the IEEE, vol. 53, pp. 983 - 988, 1965.
- [2] N. J. Willis, Bistatic Radar. SciTech, Raleigh, 2005.
- [3] N. J. Willis and H. D. Griffiths, Advances in Bistatic Radar. SciTech, Raleigh, 2007.
- [4] D. Trizna and L. Xu, „Target Classification and Remote Sensing of Ocean Current Shear Using a Dual-Use Multifrequency HF Radar”, IEEE Journal of Oceanic Engineering, vol. 31, pp. 904 - 918, 2006.
- [5] A. K. Mishra and B. Mulgrew, „Bistatic SAR ATR”, IET Radar, Sonar & Navigation, vol. 1, pp. 459 - 469, 2007.
- [6] F. Aldhubaib and N. V. Shuley, „Optimal Radar Bistatic Angle by Statistical Analysis of Scattering Patterns”, in Asia-Pacific Conference on Applied Electromagnetics (APACE), Melaka, December 2007.
- [7] T. Haumtratz and J. Schiller, „Classifying Air Targets Using a Selection of Robust Classification Features”, in Signal Processing Symposium (SPS 2009), Jachranka, May 2009.
- [8] L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone, Classification and Regression Trees. Wadsworth: Belmont, 1984.
- [9] J. G. Worms, „Signal Detection by Square Law Receivers Using the Experimental System PALES”, in Radar Conference (RADARCON 2008), Rome, May 2008.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWAK-0026-0020