论文部分内容阅读
为了研究高精度的重力辅助导航模型以克服传统模型的局限,必须建立精度高且具有良好解析性质的局部重力异常场解析模型,同时考虑模型误差方程中的重力精准补偿问题。针对二维高斯样条函数逼近局部重力异常场中的局部支撑参数选择问题,通过对所涉及的系数矩阵、解误差、插值模型精度评估等问题进行分析,提出了一种新的最优局部支撑参数计算方法;基于此提出了一种高精度的基于高斯插值的重力辅助导航模型构建算法,该精准模型补偿了重力扰动矢量、标准重力值误差、厄特弗斯修正计算值对导航模型的影响。实验结果表明利用新型重力辅助导航模型构建算法,可使辅助导航系统位置精度提高1倍左右,姿态、速度精度提高1~2倍,定位误差保持在100~200 m。
In order to study the high-precision gravitational-aided navigation model to overcome the limitations of the traditional model, an analytical model of local gravity anomalies with high accuracy and good analytical properties must be established, taking into account the gravity compensation problem in the model error equation. In order to solve the problem of local support parameters selection in local gravitational anomalies by approximating two-dimensional Gaussian spline functions, a new optimal local support is proposed by analyzing the problems of coefficient matrix, solution error and accuracy of interpolation model, Based on this, a high-precision algorithm for constructing gravity-assisted navigation model based on Gaussian interpolation is proposed, which compensates for the influence of gravity disturbance vector, standard gravity error and the calculation value of Atterft correction on the navigation model . The experimental results show that the proposed algorithm can improve the position accuracy of the AMS by about 1 time and improve the accuracy of attitude and velocity by 1 ~ 2 times with the positioning error of 100 ~ 200 m.