SINS/GPS组合导航的机载SAR姿态算法  

Attitude Estimation Algorithm for Airborne SAR Based on the SINS/GPS Integrated Navigation System

作　　者：丁国强[1] 熊明[1] 张铎[1] 马军霞[2] 

机构地区：[1]郑州轻工业学院电气信息工程学院,郑州450002 [2]郑州轻工业学院软件学院,郑州450002

出　　处：《河南大学学报（自然科学版）》2016年第6期674-682,共9页Journal of Henan University:Natural Science

基　　金：国家自然科学基金资助项目(U1204603);郑州轻工业学院研究生创新基金项目(2014004)

摘　　要：针对SINS/GPS组合导航定位系统中高分辨率机载SAR运动补偿问题,通过建立SINS/GPS组合导航定位系统误差模型开展机载SAR运动过程中姿态解算,根据SINS中姿态四元数微分方程特点,利用二次Padé逼近法构造一种四元数范数规范化计算公式,使四元数迭代计算过程中具备保范性,利用5阶CKF算法构建SINS/GPS组合导航定位系统的误差模型算法.仿真结果表明,与传统UKF、CKF模型算法相比,该算法收敛速度快,滤波精度高且计算量小,满足机载高分辨率SAR的姿态估算要求.Aimed at the problem of the motion compensation about the high-resolution Synthetic Aperture Radar （SAR） on airborne, this article established the positioning system＇s error model with the SINS/GPS integrated navigation system to develop the motion compensation algorithm to focus high resolution SAR data in the process of airborne SAR motion. For the quaternion＇s normalization problems, it used the new quadratic Pad6 approximation method to keep the quaternion＇s norm unchanged in quaternion iterative decoding process, and utilized fifth-order CKF algorithm to develop the error model algorithm of SINS/GPS integrated positioning system. Through the SINS/GPS integrated navigation system data simulation platform, the results show that, compared with the traditional UKF model algorithm and the new third-order CKF model algorithm, the fifth-order and quadratic Pad6 approximation CKF model algorithm convergence is faster, and higher in calculation precision and smaller in calculation amount than the others, satisfing the demand of high-resolution airborne SAR attitude estimation.

关 键 词：SINS/GPS组合导航定位 SAR姿态估计 姿态解算 二次Padé逼近法 四元数规范化 

分 类 号：V249.32[航空宇航科学与技术—飞行器设计]