基于弹道动力特性考虑的不完全测量数据处理方法

The Processing Method of Incomplete Instrumentation Data Based on Consideration of Trajectory Dynamic Characteristics

针对试验任务中数据丢失的情况，讨论了如何结合遥测信息，充分考虑弹道动力特性提供样条节点，最终获得目标高精度的位置和速度参数估计的问题。首先，介绍了样条节点的概念及其反映的物理背景；然后，结合遥测数据处理的相应理论，提出了遥测弹道具有充分反映动力特性、保形的特点；最后，结合最优节点搜索方法和节省参数建模理论，运用样条约束的联合处理手段，采用改进Gauss—Newton法求解非线性方程，给出了相应的实测数据处理算例。结果表明，基于靶场现有高精度测量设备的跟踪数据，充分考虑弹道的动力特性，在某些数据丢失的情况下，仍然可以提供高精度弹道参数。相对于传统的融合低精度测元进行数据补偿的方法，文中所介绍方法对提高全程弹道精度具有重要意义。

This paper discusses a circumstance of that the data measured is lost for a few seconds, under which we want to get the trajectory parameters with high accuracy . Combining with the complete measurement information of telemetry, this paper uses the dynamic characteristics of the trajectory to provide the spline node. First, this paper introduces the basic conception and the physical background of the spline node. Second, thinking carefully about the theory of the processing method about telemetry data, we know that the telemetry trajectory has the advantage of reflecting the dynamic characteristics and keeping the shape. At last, the method of searching the optimization spline node and theory of savedparameter model are used. With the improved Gauss-Newton method and the combined processing method, the solutions of the non-linear equations are gotten. Finally, corresponding results of the measured data processed are presented, which shows that the trajectory accuracy can be fairly satisfied with the tracking data, even though it is not abundant. Comparing with the traditional method of compensating the data through using the low precision data , the method introduced in this paper has the important significance to improve the trajectory precision.