电子测量与仪器学报

吴文彬,曾丹,李晋,邓贵文.利用惯导信息的太赫兹SAR成像运动补偿方法研究[J].电子测量与仪器学报,2025,39(4):42-49

利用惯导信息的太赫兹SAR成像运动补偿方法研究

Research on terahertz SAR imaging motion compensationmethod using inertial navigation information

DOI：

英文关键词:synthetic aperture radar motion compensation algorithm terahertz imaging heading speed error

基金项目:

作者	单位
吴文彬	电子科技大学信息与通信工程学院成都611731
曾丹	四川水利职业技术学院成都611244
李晋	电子科技大学信息与通信工程学院成都611731
邓贵文	电子科技大学信息与通信工程学院成都611731

Author	Institution
Wu Wenbin	School of Information and Communication Engineering， University of Electronic Science and Technology of China, Chengdu 611731, China
Zeng Dan	Sichuan Water Conservancy Vocational College, Chengdu 611244, China
Li Jin	School of Information and Communication Engineering， University of Electronic Science and Technology of China, Chengdu 611731, China
Deng Guiwen	School of Information and Communication Engineering， University of Electronic Science and Technology of China, Chengdu 611731, China

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中文摘要:

合成孔径雷达（SAR）成像的一个关键在于合成孔径时间内雷达天线的位置数据以达到高分辨率成像。载平台的运动轨迹通常不是理想的直线或稳定的,因此在合成过程中,任何微小的运动误差都会导致图像模糊或者失真。对于小范围的成像场景,传统采用全球定位系统（GPS）和信息网络系统（INS）数据联合的运动补偿方法,由于GPS容易受到信号干扰、多径效应的影响，运动补偿的效果总是不太理想。基于此场景问题提出了一种仅利用惯导信息的太赫兹SAR成像运动补偿方法,充分使用惯导系统提供的速度信息,通过对载平台的运动轨迹进行建模,有效地估计了雷达视线方向的回波相位误差,从而实现对太赫兹SAR成像目标的聚焦。实验采用0.2 THz中心频率的SAR系统进行运动补偿,对补偿前后SAR的图像强散射点进行分析,相较与现有技术基于GPS和INS联合的运动补偿方法，运动补偿方法在PSLR和ISLR上分别提升了0.7和0.8 dB,在成像速度上,运动补偿方法也提升了0.2%,实验结果表明，对于小范围成像场景该方法的聚焦效果更好,进一步验证所提到运动补偿算法的正确性和有效性。

英文摘要:

A key factor in high-resolution synthetic aperture radar imaging is that the radar operates under ideal conditions. However, the motion trajectory of radar is usually not an ideal straight line or stable, so any small motion error within the synthetic aperture time can cause image blur or distortion. For small-scale imaging scenes, due to the susceptibility of GPS to signal interference and multipath effects, the traditional motion compensation method that combines GPS and INS data is not very effective. In this scenario, this study proposes a terahertz SAR imaging motion compensation method that only utilizes inertial navigation information. This method fully utilizes the velocity information provided by the inertial navigation system, establishes a radar motion trajectory model, and effectively estimates the echo phase error in the radar line of sight direction, thereby achieving focusing on terahertz SAR imaging targets. The experiment used a SAR system with a center frequency of 0.2 THz for motion compensation, and analyzed the strong scattering points of SAR images before and after compensation. Compared with the existing technology based on GPS and INS joint motion compensation methods, the motion compensation method proposed in this study respectively improved by 0.7 and 0.8 dB on PSLR and ISLR. In terms of imaging speed, the motion compensation method proposed in this study also improved by 0.2%. The experimental results showed that the focusing effect of this method was better for small-scale imaging scenes, further verifying the correctness and effectiveness of the motion compensation algorithm mentioned in this study.

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