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Basics and first experiments demonstrating isolation improvements in the agile polarimetric FM-CW radar – PARSAX

Published online by Cambridge University Press:  11 June 2010

Oleg A. Krasnov*
Affiliation:
International Research Centre for Telecommunications and Radar (IRCTR), Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands.
Galina P. Babur
Affiliation:
International Research Centre for Telecommunications and Radar (IRCTR), Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands.
Zongbo Wang
Affiliation:
International Research Centre for Telecommunications and Radar (IRCTR), Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands.
Leo P. Ligthart
Affiliation:
International Research Centre for Telecommunications and Radar (IRCTR), Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands.
Fred van der Zwan
Affiliation:
International Research Centre for Telecommunications and Radar (IRCTR), Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands.
*
Corresponding author: O. Krasnov Email: O.A.Krasnov@tudelft.nl

Abstract

The article describes the IRCTR PARSAX radar system, the S-band high-resolution Doppler polarimetric frequency modulated continuous wave (FM-CW) radar with dual-orthogonal sounding signals, which has the possibility to measure all elements of the radar target polarization scattering matrix simultaneously, in one sweep. The performance of such radar depends of the level of sounding signals orthogonality. In the main operational mode, the radar will be used for atmospheric remote sensing and polarimetric studies of ground-based targets. In such mode it will use a pair of synchronous linearly- frequency modulated (LFM) continuous signals with opposite frequency excursions of 50 MHz and duration of 1 ms. Such a combination of sounding signals has limited orthogonality even for huge BT-products, which produce cross-channel interferences. These interferences in case of radar scene with multiple pointed and distributed targets can completely degrade radar operational performance. In this article, we propose simple and effective technique to suppress interferences and to restore radar performance. The technique has been tested using simulation and has been implemented in multi-channel digital receiver of the PARSAX radar. The real radar measurements presented to illustrate effectiveness of cross-channel interferences suppression. The proposed technique can be useful not only for polarimetric radar design, but also in much wide radar applications, which use waveforms with high orthogonality.

Type
Original Article
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2010

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References

REFERENCES

[1]Boerner, W.M., et al. : Direct and Inverse Methods in Radar Polarimetry, Part 1, Kluwer Academic Publishers, Dordrecht, The Netherlands, 1992.CrossRefGoogle Scholar
[2]Lee, J.-S.; Pottier, E.: Polarimetric Radar Imaging: from Basics to Applications, CRC Press, Boca Raton, FL, 2009.CrossRefGoogle Scholar
[3]Krasnov, O.A.; Ligthart, L.P.; Li, Z.; Lys, P.; van der Zwan, F.: The PARSAX – full polarimetric FM-CW radar with dual-orthogonal signals, in European Microwave Week 2008 Conf. Proc., EuRAD 2008, 2008, 8487.Google Scholar
[4]Titin-Schnaider, C.; Attia, S.: Calibration of the MERIC full-polarimetric radar: theory and implementation. Aerosp. Sci. Technol., 7 (2003), 633640.CrossRefGoogle Scholar
[5]Giuli, D.; Fossi, M.; Facheris, L.: Radar target scattering matrix measurement through orthogonal signals. IEE Proc., F Radar Signal Process., 140 (1993), 233242.CrossRefGoogle Scholar
[6]Le Chevalier, F.: Principles of Radar and Sonar Signals Processing, Artech House, Inc., Norwood, MA, USA, 2002.Google Scholar
[7]Babur, G.: Processing of Dual-orthogonal CW Polarimetric Radar Signals, PhD thesis, TU Delft, 2009.Google Scholar