USB测量系统测速数据最优滤波技术研究

Research of USB Measurement System Velocity Data Optimum Filtering Technique

由于目前USB测量系统测速终端数据获取不一致和微分求速方法的不足,增加了数据处理的困难和复杂性,影响了测速数据精度并限制了定轨精度的进一步提高。本文针对上述情况提出了不同条件下测速数据的最优滤波技术和方法,并从理论和仿真计算上进行了分析,结果表明采用多普勒频率连续采样和最优滤波技术将大大提高测速精度,为USB系统在今后航天任务中高精度定轨奠定了良好基础。

Caused by variation of USB system velocity measurement terminal and deficiency of differential velocity calculation,the difficulty and complexity of data processing are increased,and the accuracy of velocity data is affected so as to restrict the improvement of orbit determination accuracy.According to facts above,velocity measurement optimal filtering techniques and methods in different conditions are put forward.Theory analysis and simulation calculation indicate the improvement of velocity measurement accuracy,which establishes the foundation of USB system in space tasks in the future by adopting Doppler frequency continuous sampling and optimal filtering techniques.