无偏权值匹配融合定位算法研究

Algorithm of Data Fusion for Target Location with Unbiased Weight Matching

近距离布站跟踪的设备测量数据在进行弹道定位数据处理过程中,不可避免地会因张角太小导致最小二乘等常规的数据综合处理方法失效或计算结果失真情况。本文提出了一组基于方向余弦法的动态精度无偏权值匹配的定位模型及算法,可以有效避免因张角太小导致算法失效的问题。实测数据处理过程和结果证实,该算法对定位数据能有效确定,保证了弹道计算结果的可靠性。

In order to fuse tracking data from different measurement equipment located at short distance from each other and to determine the trajectories of a spacecraft,it is absolutely necessary to prevent breakdown or disabling of the famous least squared algorithm when the spread angle between the spacecraft and two different instrumentation sites is too small.A new algorithm is put forward in this paper to meet the challenge.The algorithm is based on unbiased weight matching location models with dynamic accuracy of direction cosine.Practical data processing results show that the new algorithm is effective to fuse different kinds of data and to improve the reliability of the trajectory determination results.