Abstract
In this study, we propose a generalized algorithm for far-field radar cross section determination by using 3-D synthetic aperture imaging with arbitrary antenna-scanning surfaces. This method belongs to a class of techniques called image-based near-field-to-far-field transformation. The previous image-based approaches have been formulated based on a specific antenna-scanning trajectory or surface, such as a line, plane, circle, cylinder, and sphere; the majority of these approaches consider 2-D radar images to determine the azimuth radar cross section. We generalize the conventional image-based technique to accommodate an arbitrary antenna-scanning surface and consider a 3-D radar image for radar cross section prediction in both the azimuth and zenith directions. We validate the proposed algorithm by performing numerical simulations and anechoic chamber measurements.
Original language | English |
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Pages (from-to) | 5831-5840 |
Number of pages | 10 |
Journal | IEEE Transactions on Antennas and Propagation |
Volume | 70 |
Issue number | 7 |
DOIs | |
State | Published - 2022/07/01 |
Keywords
- Image reconstruction
- near-field-to-fa-field transformation (NFFFT)
- radar cross section (RCS)
- synthetic aperture imaging
ASJC Scopus subject areas
- Electrical and Electronic Engineering