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Antenna Array Calibration Using a Sparse Scene

delete2021-01-01
delete15
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OA
AI
J
Johanna Geiß *
E
Erik Sippel
M
Markus Hehn
M
Martin Vossiek
DOI:10.1109/OJAP.2021.3061935delete
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摘要

摘要

En 中文
In radar systems, antenna arrays acquire direction-dependent information to localize targets or create images of the environment. However, because of unknown complex amplitudes per channel and mutual coupling, a calibration is necessary for good performance. Common calibration approaches measure to targets under known angles in a multipath-free far-field environment, which often can only be provided by anechoic chambers. Therefore, this process is not suitable for low-cost and frequent calibration. To overcome these limitations, this paper proposes a novel calibration approach using an unknown but sparse target scene. Multiple measurements at known relative positions of the radar are combined to a synthetic aperture. Then, the full mutual coupling matrix is estimated simultaneously with the unknown target scene. The method requires neither target position information, far-field conditions, nor an anechoic chamber because multipath propagation can be suppressed easily for targets located in the near-field. The proposed calibration approach is validated by measurements of a commercial 77GHz radar. The performance is evaluated by comparing the achieved image quality using the calibration results of this work and the radar's ex-factory calibration data. The proposed novel calibration procedure improves the image quality, while considerably lowering the demands on the calibration measurements and environment.
Keyword:
Antenna measurements
Mutual coupling
Anechoic chambers
Radar antennas
Calibration
Synthetic aperture radar
Antenna arrays
Antenna array
calibration
compressed sensing
mutual coupling
radar
sparsity
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期刊

I
IEEE Open Journal of Antennas and Propagation
IF:
3.6
论文数:
823
被引数:
1.6K

机构

U
University of Erlangen Nuremberg
学者数:
3.2W
论文数: 2.6W
被引数: 29
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