移动卫星通信系统强跟踪姿态估计算法  

Strong Tracking Attitude Estimation Algorithm of Mobile Satellite Communication System

作　　者：闫志翔 姚敏立 赵建伟 王梓函 

机构地区：[1]火箭军工程大学403教研室,陕西西安710025 [2]火箭军工程大学907教研室,陕西西安710025

出　　处：《压电与声光》2016年第2期324-327,332,共5页Piezoelectrics & Acoustooptics

基　　金：国家自然科学基金资助项目(61179004;61179005)

摘　　要：针对移动卫星通信系统在高动态和强机动等复杂地理环境下,测控系统不能保证天线姿态稳定和指向实时对准的问题,提出了一种量测误差实时渐变的强跟踪姿态估计算法。通过量测误差实时渐变来改善强跟踪滤波中渐消因子突增造成的过调节问题;通过引入多重渐消因子对保证滤波预测方差阵的对称性不被破坏;通过强跟踪滤波提高天线姿态在强机动下的稳定性,增强对突变的跟踪能力。实验仿真表明,该算法在强机动和高动态条件下有较强模型参数失配的鲁棒性和突变情况下的跟踪能力,能有效提高天线姿态在高动态下的估计精度。Aiming at the problem that the measurment and control system can′t guarantee the antenna attitude stabilization and the pointing real-time alignment at the high dynamic and strong maneuvering complex geographical environment,a strong tracking attitude estimation algorithm with the measurment erro real-time gradient is proposed in this work.The measurement error real-time gradient is used to improve the overshoot problem of tracking filter fading factor caused by the suddern increase,and the multiple fading factor in troduced to ensure that the symmetry filtering prediction covariance matrix is not destroyed,while the strong tracking filter is used to improve the antenna attitude stability under the strong maneuvering conditions and enhance the ability to track mutations.The simulation results show that the proposed algorithm has strong robustness for model parameters mismatching and good tracking ability under the strong maneuvering and high dynamic conditions,and can effectively improve the antenna attitude estimation accuracy in a high dynamic environment.

关 键 词：强跟踪滤波 量测误差 渐消因子 移动卫星通信 鲁棒性 姿态估计 

分 类 号：TN927[电子电信—通信与信息系统]