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A super-resolution polarimetric wavefront extraction algorithm for UWB-radar under massive interference conditions

Published online by Cambridge University Press:  29 July 2015

Dilyan Damyanov ,
Rahmi Salman ,
Thorsten Schultze  and
Ingolf Willms
Dilyan Damyanov*
Affiliation:
University of Duisburg-Essen, Chair of Communication Systems, Bismarckstrasse 81, 47057 Duisburg, Germany. Phone: +49 203 379 4408
Rahmi Salman
Affiliation:
HF Systems Engineering GmbH & Co. KG, Heinrich-Hertz-Straße 6, 34123 Kassel, Germany
Thorsten Schultze
Affiliation:
University of Duisburg-Essen, Chair of Communication Systems, Bismarckstrasse 81, 47057 Duisburg, Germany. Phone: +49 203 379 4408
Ingolf Willms
Affiliation:
University of Duisburg-Essen, Chair of Communication Systems, Bismarckstrasse 81, 47057 Duisburg, Germany. Phone: +49 203 379 4408
*
Corresponding author: D. Damyanov Email: dilyan.damyanov@uni-due.de
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Abstract

To provide short-range super-resolution ultra-wideband (UWB) radar under multi-scattering conditions, a superior wavefront extraction algorithm is proposed in this paper. Conventional correlation-based pulse separation methods based on SAGE, CLEAN or the previously introduced superior dynamic correlation method (DCM) are revised, validated, and compared. In this paper, the DCM is improved significantly by applying the Pauli scattering matrix decomposition onto the radar data. This novel wavefront extraction algorithm is called polarimetric dynamic correlation method (PDCM) and is suitable to resolve several overlapping pulses, which consist of both strong echoes and weak echoes which are masked by the strong ones. The performance of the PDCM and the comparison with alternative algorithms is carried out by a subsequent feature extraction algorithm for visual verification. Experimental validations are performed with two complex test objects, a maximum length sequence radar device (4.5–13.5 GHz) and compact dual-polarized UWB antennas.

Keywords

Radar signal processing and system modelingRadar applications
Type
Research Paper
Information
International Journal of Microwave and Wireless Technologies , Volume 7 , Issue 5 , October 2015 , pp. 597 - 603
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2015 

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References

REFERENCES

[1]Hantscher, S.; Etzlinger, B.; Reisenzahn, A.; Diskus, C.: A wave front extraction algorithm for high-resolution pulse based radar systems, in IEEE Int. Conf. Ultra-Wideband (ICUWB), 24–26 September 2007.Google Scholar
[2]Salman, R.; Willms, I.: Joint efficiency and performance enhancement of wavefront extraction algorithms for short-range super-resolution UWB radar, in the Seventh German Microwave Conf. (GeMiC), 12–14 March 2012.Google Scholar
[3]Sachs, J.; Herrmann, R.; Kmec, M.; Helbig, M.; Schilling, K.: Recent advances and applications of m-sequence based ultra-wideband sensors, in IEEE Int. Conf. Ultra-Wideband, 24–26 September 2007.Google Scholar
[4]Reichardt, L.; Kowalewski, J.; Zwirello, L.; Zwick, T.: Compact, Teflon embedded, dual-polarized ultra wideband (UWB) antenna, in Int. Symp. Antennas and Propagation Society (APSURSI), 8–14 July 2012.CrossRefGoogle Scholar
[5]Salman, R.; Willms, I.: 3D UWB radar super-resolution imaging for complex objects with discontinuous wavefronts, in IEEE Int. Conf. Ultra-Wideband, 14–16 September 2011.CrossRefGoogle Scholar
[6]Salman, R.; Willms, I.; Reichardt, L.; Wiesbeck, W.: On polarization diversity gain in short range UWB-radar object imaging, in IEEE Int. Conf. Ultra-Wideband (ICUWB), 17–20 September 2012.Google Scholar