Paper Info
Title
Squint Spotlight SAR Raw Signal Simulation in the Frequency Domain Using Optical Principles
Abstract
Synthetic aperture radar (SAR) distributed target scene raw signal simulation is an important tool for the study and test of SAR systems and processing algorithms, mission planning, and inversion algorithm design. In this paper, the squint spotlight SAR scene model is evaluated to achieve spotlight SAR raw signals in the 2-D frequency domain and the precision of the model is analyzed. It is known that the range migration phenomenon in the time domain is explained as the coupling between the range and azimuth in the 2-D frequency domain. To realize the coupling relation in the 2-D frequency, interpolation may be needed. However, interpolation is a time-consuming manipulation. For efficiency, some signal processing methods are employed to couple the range and azimuth frequencies. Those tricks are derived from some optical principles, which give us some novel thoughts. Therefore, the efficiency of the simulator is highly improved, which facilitates its application to the verification and test of the real-time processor.
Year
DOI
Venue
2008
10.1109/TGRS.2008.917496
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
synthetic aperture radar,sar signal processing,inversion algorithm,synthetic aperture radar (sar),sar distributed target scene,frequency-domain analysis,squint spotlight sar scene model,chirp fourier transform,remote sensing by radar,mission planning,optical principles,geophysical signal processing,2d frequency domain analysis,range migration phenomenon,distributed target scene,fast fourier transform (fft),sar raw signal simulation,fast fourier transforms,real time,azimuth,fourier transform,frequency domain,frequency domain analysis,algorithm design,interpolation,layout,signal processing,fast fourier transform,adaptive optics,laser radar,time domain
Frequency domain,Time domain,Computer vision,Signal processing,Synthetic aperture radar,Interpolation,Remote sensing,Azimuth,Fast Fourier transform,Artificial intelligence,Mathematics,Adaptive optics
Journal
Volume
Issue
ISSN
46
8
0196-2892
Citations 
PageRank 
References 
10
0.74
8
Authors
3
Name
Order
Citations
PageRank
Yu Wang1142.73
Zhimin Zhang2397.71
Yunkai Deng329254.84