A Frequency-domain Algorithm Based on Local Cartesian Coordinate and Subregion Processing for Missile-borne SAR Imaging
BIE Bowen①② SUN Lu③ XING Mengdao①② LIANG Yi①② SUN Guangcai①②
①(National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China) ②(Collaborative Innovation Center of Information Sensing and Understand, Xidian University, Xi’an 710071, China) ③(China Air Force Equipment Headquarter, Beijing 100843, China)
Abstract：The missile-borne SAR platform has the characteristics of nonlinear trajectory and high-squint mode. A frequency-domain imaging algorithm based on local Cartesian coordinate and subregion processing is proposed. For high-squint mode, the range model is built in local Cartesian coordinate to match accurately the azimuth signal after range walk correction. To compensate the azimuth-dependent range cell migration and Doppler parameters accurately, the imaging area is divided into several subregions. The final focused image can be obtained when all the subregion images are interpolated uniformly into the ground coordinate. Finally, the point targets simulation and real SAR data verify the effectiveness of the proposed algorithm.
别博文,孙路,邢孟道,梁毅,孙光才. 基于局部直角坐标和子区域处理的弹载SAR频域成像算法[J]. 电子与信息学报, 2018, 40(8): 1779-1786.
BIE Bowen, SUN Lu, XING Mengdao, LIANG Yi, SUN Guangcai. A Frequency-domain Algorithm Based on Local Cartesian Coordinate and Subregion Processing for Missile-borne SAR Imaging. JEIT, 2018, 40(8): 1779-1786.
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