移动卫星通信低成本姿态估计算法

移动卫星通信(动中通)是卫星通信的重要分支,低成本化是动中通的发展趋势。为有效加速动中通的推广和应用,该文提出了基于微机械惯性传感器的低成本动中通工作模式,并将传统姿态估计领域的传感器融合姿态估计算法、互补滤波姿态估计算法与新兴的组合导航姿态估计算法进行了对比,结果表明,侧滑角和机动加速度是限制传感器融合姿态估计算法估计精度的主要因素,航向角可观性低是限制组合导航算法的主要因素。3种算法经过改进后,姿态估计误差均在0.5°内,3种算法均满足移动卫星通信的需求。组合导航算法无需考虑外界干扰对姿态估计的影响,具有更好的应用前景。

Low Cost Attitude Estimation Algorithm for Mobile Satellite Communication

The mobile communication is an important branch of satellite communication and low cost is the development trend.To promote the popularization and application of the SOTM,this paper proposes the work mode of low cost micro inertial sensors.The fusion algorithm and the complementary filter are compared with the new integrated navigation attitude estimation algorithm.The sideslip angle and acceleration are the main factors affecting the accuracy of the estimation.The low observability of the yaw is the main factor to limit the accuracy of the integrated navigation algorithm.After three kinds of algorithm is improved,the attitude estimation errors are all less than 0.5°,which can satisfy the demand of mobile satellite communication, but the navigation algorithm has a good application prospect without considering the influence of interference on pose estimation.