一种改进的全息SAR相位梯度自聚焦算法

doi:10.12305/j.issn.1001-506X.2025.06.07

Abstract

Abstract:

Holographic synthetic aperture radar (HoloSAR) imaging is a SAR three-dimensional (3D) imaging mode that provides rich target scattering information through observations from different spatial dimensions. The phase gradient autofocus (PGA) is an efficient method for phase error compensation. However, its limitation lies in the inability to estimate the linear component of the phase error, causing vertical shift among HoloSAR sub-aperture imaging results. Therefore, an improved PGA method is proposed which extends the map drift (MD) algorithm to 3D imaging. The proposed method estimates the residual linear phase error within PGA, addressing the vertical shift issue among HoloSAR sub-apertures imaging. The proposed method can jointly correct phase errors in both the echo domain and the image domain, and is simpler and more efficient compared to existing methods. The processing results of simulated targets and GOTCHA measured data confirm the effectiveness and practicality of the proposed method.

Key words: three-dimensional (3D) imaging, holographic synthetic aperture radar (HoloSAR), phase error correction, phase gradient autofocus (PGA)

CLC Number:

TN95

Fengzhuo HUANG, Dong FENG, Yangsheng HUA, Xiaotao HUANG. An improved holographic SAR phase gradient autofocus algorithm[J]. Systems Engineering and Electronics, 2025, 47(6): 1786-1795.

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References 22

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参数名称	参数值
中心频率/GHz	9.6
信号带宽/MHz	640
入射角/(°)	45
中心斜距/m	4 242.6
层析向分辨率/m	0.474
不模糊高度范围/m	3.315

方法	x-z平面		y-z平面		x-y平面		三维图像
方法	IE	IC	IE	IC	IE	IC	IE	IC
COA	8.310	2.810	7.983	2.577	7.514	2.594	11.262	1.339
NC-PGA	8.325	2.358	7.941	2.340	7.540	2.179	11.111	1.608
PGA-MD	8.149	2.716	7.816	2.555	7.443	2.350	10.874	1.757

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An improved holographic SAR phase gradient autofocus algorithm

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