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基于 INS/GPS 系统的雷达地形成像运动补偿。

Motion Compensation for Radar Terrain Imaging Based on INS/GPS System.

机构信息

Faculty of Electronics, Institute of Radioelectronics, Military University of Technology, ul. gen. S. Kaliskiego 2, 00-908 Warszawa, Poland.

出版信息

Sensors (Basel). 2019 Sep 10;19(18):3895. doi: 10.3390/s19183895.

Abstract

In order to obtain good quality radar terrain images using an aerial-based synthetic aperture radar, a motion compensation procedure must be applied. This procedure can use a precise navigation system in order to determine the aircraft's position and velocity. A major challenge is to design a motion compensation procedure that can operate in real time, which is crucial to ensure convenient data for a human analyst. The article discusses a possibility of Inertial Measurement System (INS)/Global Positioning System (GPS) navigation system usage in such a radar imaging system. A Kalman filter algorithm designed for this system is described herein, and its modifications introduced by the authors allow the use of navigational data not aligned in time and captured with different frequencies. The presented navigation system was tested using measured data. Radar images obtained with the INS/GPS-based motion compensation system were compared to the INS-only results and images obtained without navigation corrections. The evaluation results presented in the paper show that the INS/GPS system allows for better reduction of geometric distortions in images compared to the INS-based approach, which makes it more suitable for typical applications.

摘要

为了使用机载合成孔径雷达获得高质量的雷达地形图像,必须应用运动补偿程序。该程序可以使用精确的导航系统来确定飞机的位置和速度。一个主要的挑战是设计一个能够实时运行的运动补偿程序,这对于确保为人类分析师提供方便的数据至关重要。本文讨论了在这种雷达成像系统中使用惯性测量系统 (INS)/全球定位系统 (GPS) 导航系统的可能性。本文介绍了专为该系统设计的卡尔曼滤波器算法,其作者引入的修改允许使用未对齐时间和以不同频率捕获的导航数据。所提出的导航系统使用测量数据进行了测试。使用基于 INS/GPS 的运动补偿系统获得的雷达图像与仅使用 INS 的结果和未进行导航校正的图像进行了比较。本文提出的评估结果表明,与基于 INS 的方法相比,INS/GPS 系统允许更好地减少图像中的几何失真,因此更适合典型应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3acc/6767291/ddbf76c75be3/sensors-19-03895-g001.jpg

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