24 November 2021 Frequency-domain imaging algorithm based on time-frequency-domain perturbation for maneuvering highly squinted FMCW-SAR
Xuying Xiong, Yanheng Ma, Gen Li, Lina Chu, Bingxuan Li, Xiaoze Hou
Author Affiliations +
Abstract

Serious range-azimuth coupling and spatial variability of imaging parameters limit the focusing depth of conventional synthetic aperture radar (SAR) imaging methods for maneuvering high-squint frequency modulated continuous wave -SAR. To expand the effective imaging area, an imaging method based on time-frequency-domain perturbation is proposed. First, the slant range model based on data recording parameters is optimized to remove Doppler frequency shift and secondary coupling caused by in-pulse movement. Then, the spatial variability of range cell migration (RCM) is corrected by constructing the time-domain perturbation function to achieve unified RCM correction. In azimuth processing, the linear spatial variability of the first- to third-order Doppler parameters and the second-order space variation of azimuth modulation frequency are removed by the time-frequency perturbation filtering functions. The focus quality of the nonscene center is effectively improved. Finally, the effectiveness of the algorithm is verified by both the simulation data and the measured data.

© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2021/$28.00 © 2021 SPIE
Xuying Xiong, Yanheng Ma, Gen Li, Lina Chu, Bingxuan Li, and Xiaoze Hou "Frequency-domain imaging algorithm based on time-frequency-domain perturbation for maneuvering highly squinted FMCW-SAR," Journal of Applied Remote Sensing 15(4), 046505 (24 November 2021). https://doi.org/10.1117/1.JRS.15.046505
Received: 27 April 2021; Accepted: 3 November 2021; Published: 24 November 2021
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Detection and tracking algorithms

Synthetic aperture radar

Doppler effect

Modulation

Computer simulations

Data modeling

Digital recording

Back to Top