Fourier Transform of SAR Data Cube and 3-D Range Migration Algorithm
2022 (English)In: IEEE Transactions on Aerospace and Electronic Systems, ISSN 0018-9251, E-ISSN 1557-9603, Vol. 58, no 3, p. 2584-2591Article in journal (Refereed) Published
Abstract [en]
To develop a 3-D imaging synthetic aperture radar(SAR) algorithm, a theoretical expression for a Fourier transform of data cube is required. In this article, we introduce a function representing the Fourier transform of 3-D SAR data cube. The function is derived using the method of stationary phase and similar to the one used for 2-D data matrix. For verification and evaluation, a 3-D range migration algorithm using this function for bulk compression is examined. The simulation results based on the parameters of an experimental terahertz indoor SAR testbed show that the algorithm can well focus the 3-D image and, hence, verify the derived function. The image quality assessments such as spatial resolutions and peak sidelobe ratio are used to further evaluate the function and the algorithm. The measured results are compared with the ones provided by a backprojection algorithm.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2022. Vol. 58, no 3, p. 2584-2591
Keywords [en]
3D, Apertures, Fourier transforms, indoor, Radar, Radar polarimetry, Resolution, SAR, Spaceborne radar, Synthetic aperture radar, Three-dimensional displays, THz, UWB
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-22548DOI: 10.1109/TAES.2021.3134724ISI: 000808099300081Scopus ID: 2-s2.0-85121831176OAI: oai:DiVA.org:bth-22548DiVA, id: diva2:1626436
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Note
open access
2022-01-112022-01-112024-08-06Bibliographically approved