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A tomographic approach to polarimetrie radar cross-section imaging

 
: Moch, R.; Dallmann, T.; Heberling, D.

:

Sibille, A. ; Institute of Electrical and Electronics Engineers -IEEE-; European Association on Antennas and Propagation -EurAAP-:
11th European Conference on Antennas and Propagation, EUCAP 2017 : 19-24 March 2017, Paris
Piscataway, NJ: IEEE, 2017
ISBN: 978-88-907018-7-0
ISBN: 978-1-5090-3742-1
S.3940-3944
European Conference on Antennas and Propagation (EUCAP) <11, 2017, Paris>
Englisch
Konferenzbeitrag
Fraunhofer FHR ()

Abstract
Three-dimensional radar cross-section (RCS) images are a valuable support for understanding the scattering events occurring at a radar target. Traditional RCS measurement methods require a large angular range and many measurement points to provide sufficient resolution and unambiguousness. This paper proposes the usage of high-resolution techniques, enabled by taking only the polarimetric signal components into account. Therefore, the geometry of a compact antenna test range is integrated into a signal model similar to the one of the direction of arrival (DOA) problem. Subsequently, Bartlett-Beamformer, Multiple Signal Classification (MuSiC) and Deterministic Maximum Likelihood (DML) are adapted and analyzed according to their performance regarding tomographic RCS imaging. The validation of this approach is done by measuring a reference target's RCS along three dimensions. A comparison of the results of the three algorithms is provided in the end, constituting the advantages of MuSiC.

: http://publica.fraunhofer.de/dokumente/N-518447.html