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Fractal antenna arrays for MIMO radar applications

Published online by Cambridge University Press:  26 October 2017

Christoph Dahl Open the ORCID record for Christoph Dahl [Opens in a new window] ,
Michael Vogt  and
Ilona Rolfes
Christoph Dahl*
Affiliation:
Institute of Microwave Systems, Ruhr-University Bochum, Universitaetsstr. 150, 44801 Bochum, Germany
Michael Vogt
Affiliation:
Institute of Electronic Circuits, Ruhr-University Bochum, Universitaetsstr. 150, 44801 Bochum, Germany
Ilona Rolfes
Affiliation:
Institute of Microwave Systems, Ruhr-University Bochum, Universitaetsstr. 150, 44801 Bochum, Germany
*
Corresponding author: C. Dahl Email: [email protected]
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Abstract

In this contribution, fractal antenna arrays are analyzed for their applicability in multiple-input multiple-output (MIMO) radars. Array geometries based on the Fudgeflake fractal and the Gosper island fractal are investigated. In addition, a concept for the combination of both fractals is shown in order to increase the flexibility concerning the number of transmitting and receiving antennas. The presented fractal MIMO concepts can be utilized in order to improve the angular resolution and to reduce the sidelobe level for a given number of transmitting and receiving antennas. It is shown that a fractal MIMO concept with 21 transmitting antennas and 21 receiving antennas improves the angular resolution to 4.6 degrees and reduces side lobe level by 3.1 dB compared to a MIMO configuration based on two linear arrays with the same number of antenna elements. In addition, the results are experimentally validated by broadband radar measurements.

Keywords

Radar applicationsRadar architecture and aystems
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 9 , Issue 10 , December 2017 , pp. 2019 - 2028
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2017 

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References

REFERENCES

[1] Dahl, C.; Vogt, M.; Rolfes, I.: Comparison of virtual arrays for MIMO radar applications based on hexagonal configurations, in European Radar Conf. (EuRAD), Paris, France, 2015.CrossRefGoogle Scholar
[2] Zankl, D. et al. : BLASTDAR – a large radar sensor array system for blast furnace burden surface imaging. IEEE Sens. J., 15 (2015), 5893–5909.Google Scholar
[3] Ahmed, S.; Schiess, A.; Schmidt, L.: Near field mm-wave imaging with multistatic sparse 2d-arrays, in European Radar Conf. (EuRAD), Rome, Italy, 2009.Google Scholar
[4] Volakis, J.: Antenna Engineering Handbook, 4th ed., McGraw-Hill Education, New York City, United States, 2007.Google Scholar
[5] Harter, M. et al. : 2-d antenna array geometries for MIMO radar imaging by digital beamforming, in European Microwave Conf. (EuMC), Nuremberg, Germany, 2013.Google Scholar
[6] Zhuge, X.; Yarovoy, A.: Study on two-dimensional sparse MIMO UWB arrays for high resolution near-field imaging. IEEE Trans. Antennas Propag., 60 (2012), 4173–4182.CrossRefGoogle Scholar
[7] Werner, D.; Kuhirun, W.; Werner, P.L.: Fractile arrays: a new class of tiled arrays with fractal boundaries. IEEE Trans Antennas Propag., 52 (2004), 2063–2072.Google Scholar
[8] Li, J.; Stoica, P.: MIMO Radar Signal Processing. John Wiley and Sons Inc., New York City, United States, 2009.Google Scholar
[9] Bleh, D. et al. : A 100 GHz FMCW MIMO radar system for 3D image reconstruction, in European Radar Conf. (EuRAD), London, UK, 2016.Google Scholar
[10] Duofang, C.; Baixiao, C.; Shouhong, Z.: Multiple-input multiple-output radar and sparse array synthetic impulse and aperture radar, in CIE International Conf. on Radar, Shanghai, China, 2006.Google Scholar
[11] Dahl, C.; Vogt, M.; Rolfes, I.: Mimo radar concepts based on antenna arrays with fractal boundaries, in European Radar Conf. (EuRAD), London, UK, 2016.Google Scholar
[12] Werner, D.; Kuhirun, W.; Werner, P.: The peano-gosper fractal array. IEEE Trans. Antennas Propag., 51 (2003), 2063–2072.Google Scholar
[13] Jianguo, L.; Jianguo, L.; Bingcheng, Y.: A new design method of wideband beam-former, in International Conf. on Wireless Communications & Signal Processing (WCSP), Nanjing, China, 2009.Google Scholar
[14] Qu, H.; Zhai, L.: Optimization of Sparse synthesis aperture imaging array on hexagonal grids with difference basis, in IEEE Int. Conf. on Signal Processing, Communications and Computing (ICSPCC), Guilin, China, 2014.CrossRefGoogle Scholar
[15] Zapata, J.; Ritter, G.: Fast Fourier transform for hexagonal aggregates. J. Math. Imaging Vis., 12 (2000), 183–197.Google Scholar