Abstract
This paper proposes an imaging algorithm for synthetic aperture radar (SAR) mounted on a high-speed maneuvering platform with squint terrain observation by progressive scan mode. To overcome the mismatch between range model and the signal after range walk correction, the range history is calculated in local polar format. The Doppler ambiguity is resolved by nonlinear derotation and zero-padding. The recovered signal is divided into several blocks in Doppler according to the angular division. Keystone transform is used to remove the space-variant range cell migration (RCM) components. Thus, the residual RCM terms can be compensated by a unified phase function. Frequency domain perturbation terms are introduced to correct the space-variant Doppler chirp rate term. The focusing parameters are calculated according to the scene center of each angular block and the signal of each block can be processed in parallel. The image of each block is focused in range-Doppler domain. After the geometric correction, the final focused image can be obtained by directly combined the images of all angular blocks. Simulated SAR data has verified the effectiveness of the proposed algorithm.
Highlights
In the past a few decades, the technology of synthetic aperture radar (SAR) has been widely used in the field of geoscience and climate change research, environmental and earth system monitoring [1]
This paper proposed an imaging algorithm for high-speed maneuvering platform
The range model is formed in local polar format which can overcome the mismatch between the range model and the signal after range walk correction (RWC)
Summary
In the past a few decades, the technology of synthetic aperture radar (SAR) has been widely used in the field of geoscience and climate change research, environmental and earth system monitoring [1]. The SAR data recorded in TOPS mode need preprocessing steps [16,17,18] to recover the ambiguous Doppler signals This is caused by the beam scanning which leads to the Doppler variation during the synthetic aperture time. SAR signal processing, because the signal is ambiguous in time domain Another method for space-variation correction is resampling [26,27]. The method needs interpolation operations which is computational complex Both NCS and resampling cannot remove all the space-variant components in Doppler chirp rate and third order terms at the same time. An imaging algorithm for high-speed maneuvering platform SAR with squint TOPS mode is proposed.
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