A Modified Range Doppler Algorithm for High-Squint SAR Data Imaging

被引:3
|
作者
Guo, Yanan [1 ]
Wang, Pengbo [1 ]
Men, Zhirong [1 ]
Chen, Jie [1 ]
Zhou, Xinkai [2 ]
He, Tao [1 ]
Cui, Lei [3 ]
机构
[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
[2] Beijing Inst Remote Sensing Equipment, Beijing 100191, Peoples R China
[3] Shanghai Inst Satellite Engn, Shanghai 201100, Peoples R China
关键词
high-squint Synthetic Aperture Radar (SAR); high-precision imaging algorithm; Range Cell Migration Correction (RCMC); range-azimuth coupling; modified correlation processing; CHIRP SCALING ALGORITHM;
D O I
10.3390/rs15174200
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The high-squint airborne Synthetic Aperture Radar (SAR) has the ability to detect the target area flexibly, and the detection swath is significantly increased compared with the side-looking SAR system. Therefore, it is of great significance to carry out research on high-precision imaging methods for high-squint airborne SAR. However, the high-squint SAR echoes have large Range Cell Migration (RCM), resulting in severe range-azimuth coupling and strong spatial variation. In this paper, a Modified Range Doppler Algorithm (MRDA) is proposed to cope with these effects introduced by the significant RCM in high-squint airborne SAR imaging. The bulk compensation preprocessing is first adopted to remove the considerable RCM and severe cross-coupling in a two-dimensional frequency domain. Then, Non-Linear Chirp Scaling (NLCS) in the range direction is utilized to equalize the range-variant chirp rate caused by the residual RCM and coupling and, therefore, the consistent range phase compensation can be fulfilled in range frequency domain. The modified correlation processing is executed to compensate the residual Doppler phase modulation, the residual RCM and the range-variant cubic phase modulation, which guarantees the characteristics of high efficiency and high precision. The simulations have demonstrated that the MRDA can focus the SAR echoes with large squint angles more effectively than the algorithms based on the Linear Range Walk Correction (LRWC) method.
引用
收藏
页数:19
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