针对机载惯导航向角度误差大引起的机载合成孔径雷达(SAR)成像指向偏差问题,提出了基于机载SAR 成像场景评估的惯导标定技术。该技术通过SAR 成像均匀场景高分辨结果的数据挖掘,结合雷达天线方向图有效完成指向误差提取;并在此基础上结合惯导杆臂模型与卡尔曼滤波处理,完成惯导安装角度误差精准估计与补偿,最终通过实测数据有效验证了惯导角度误差的标定技术在工程应用中取得了更优异的SAR 图像质量。该方法能够减少惯导角度误差影响,获取更高的机载雷达SAR 成像控制精度,具备更加广阔的应用场景。

Aiming at the problem of pointing deviation in airborne SAR imaging caused by large heading angle errors of airborne inertial navigation, an inertial calibration technology based on airborne SAR imaging scene evaluation is proposed. This technology utilizes data mining of high-resolution results from SAR imaging of uniform scenes, combined with radar antenna patterns, to effectively extract pointing errors. On this basis, combined with the inertial navigation lever arm model and Kalman filtering processing, the precise estimation and compensation of the installation angle error of the inertial navigation were completed. Finally, the effective calibration of the inertial navigation angle error was verified through measured data, and better SAR image quality was achieved in engineering applications. This method can reduce the impact of inertial navigation angle error, obtain higher airborne radar control accuracy, and has a wider range of application scenarios.

TN957. 52;TN959. 73