AZIMUTH NONLINEAR CHIRP SCALING INTEGRATED WITH RANGE CHIRP SCALING ALGORITHM FOR HIGHLY SQUINTED SAR IMAGING

Qinglin Zhai, Wei Wang, Jiemin Hu, Jun Zhang
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引用次数: 5

Abstract

The di-culty of focusing high-resolution highly squinted SAR data comes from the serious azimuth-range coupling, which needs to be compensated in the procedure of imaging. Generally, the linear range walk correction (LRWC) can reduce the coupling efiectively, however, it also induces the problem of azimuth-dependence of residual range cell migration (RCM) and quadratic phase. A novel algorithm is proposed to solve this problem in this paper. In this algorithm, the azimuth nonlinear chirp scaling (ANCS) operation is used, which can not only eliminate the azimuth space variation of residual RCM and frequency modulation (FM) rate but also remove the azimuth misregistration. In addition, the range chirp scaling operation is applied to correct the range-dependent RCM. After implementing the unifled RCM correction, range compression and azimuth compression sequentially, the focused SAR image is acquired flnally. The experimental results with simulated data demonstrate that the proposed algorithm outperforms the existing algorithms.
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高斜视SAR成像的方位角非线性啁啾标度与距离啁啾标度相结合
高分辨率高斜视SAR数据的聚焦困难来自于严重的方位角-距离耦合,需要在成像过程中进行补偿。一般来说,线性距离行走校正(LRWC)可以有效地减少耦合,但它也会引起剩余距离单元迁移(RCM)和二次相位的方位角依赖问题。本文提出了一种新的算法来解决这一问题。该算法采用方位角非线性啁啾缩放(ANCS)运算,不仅消除了残差RCM和调频(FM)率的方位角空间变化,而且消除了方位角错配。此外,应用距离啁啾缩放操作对距离相关RCM进行校正。经过统一的RCM校正、距离压缩和方位角压缩,最终获得聚焦后的SAR图像。仿真数据的实验结果表明,该算法优于现有算法。
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