基于多元非完备信息的实时滤波定轨方法

Real-time filtering orbit method based on multiple incomplete observation

针对扩频及USB测控设备外测非完备观测数据在实时滤波定轨中的使用问题,采用变维矩阵及向量运算方法对各类非完备数据进行混合使用,对其实现过程及使用效果进行了分析。仿真结果表明,基于多元非完备数据的实时定轨精度与使用完备数据计算的轨道精度相当,该方法降低了外测数据预处理复杂度,研究结果对空间目标实时监视有一定的参考价值。

For incomplete observation using of direct sequence spread spectrum（DSSS） and universal ser-ial bus（USB） in real-time filters, a method based on variable dimension matrix and vectors was presented for blended use of incomplete data, of which the process and effect were analyzed. Simulation resultsshow that the accuracy with multivariate incomplete data is equal to the accuracy with complete data in real-time filters, and the method can reduce pre-processing procedures, which is of reference value in real-time of space targets.