Abstract
This paper presents a modified approach for high-resolution, highly squint synthetic aperture radar (SAR) data processing. Several nonlinear chirp scaling (NLCS) algorithms have been proposed to solve the azimuth variance of the frequency modulation rates that are caused by the linear range walk correction (LRWC). However, the azimuth depth of focusing (ADOF) is not handled well by these algorithms. The generalized nonlinear chirp scaling (GNLCS) algorithm that is proposed in this paper uses the method of series reverse (MSR) to improve the ADOF and focusing precision. It also introduces a high order processing kernel to avoid the range block processing. Simulation results show that the GNLCS algorithm can enlarge the ADOF and focusing precision for high-resolution highly squint SAR data.
Highlights
Synthetic aperture radar (SAR) has been widely used as a remote sensing tool as it can provide the high-resolution images of the interested area during a mission, nearly regardless of weather and time.Side-looking SAR, with the restriction of the antenna beam pointing direction, can only be applied in some special areas [1]
Back projection of processing squint SAR data are the compensations of two-dimensional (2D) spatial-variant range (BP) algorithm is the most precise imaging algorithm when assuming that the trajectory is obtained cell migration (RCM), and azimuth-variance of Doppler coefficients [17]
As the azimuth variance of equivalent range cannot be formatted in the RD domain, the approximation is adopted during the compensation of high order phase in the filter of H2 f η
Summary
Synthetic aperture radar (SAR) has been widely used as a remote sensing tool as it can provide the high-resolution images of the interested area during a mission, nearly regardless of weather and time. A number of outstanding and efficient frequency-domain algorithms have been proposed to solve the perpendicular broadside stripmap SAR imaging in the last fifty years, such as range Doppler algorithm (RDA), ω − k algorithm, chirp scaling algorithm (CSA), and frequency scaling algorithm (FSA) [14] Both the RDA and ω − k have a low efficiency because of the interpolation process to accomplish the range cell migration correction (RCMC) [15,16]. Back projection of processing squint SAR data are the compensations of two-dimensional (2D) spatial-variant range (BP) algorithm is the most precise imaging algorithm when assuming that the trajectory is obtained cell migration (RCM), and azimuth-variance of Doppler coefficients [17]. Is alsothe carried out in range direction to avoid theFM range sub-block method is modification proposed to solve deteriorations caused by azimuth variant rates for process with wide swath data.
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