多测速系统应答信标数据实时分类算法

为了提高目标轨迹解算的稳定性,针对多测速系统在应答模式下的测量数据分类问题,提出了一种新的实时分类算法。首先分析了现有方法的缺陷;其次设计了一种能够将应答数据、信标数据与异常数据进行分类的新算法。该算法的关键是选择适当的分类参考,采用目标理论轨迹与已经分类的历史测量数据等2种分类参考相结合的方法,以适应不同的应用情形;最后,利用2类主站配置模式下的典型实测数据对新算法进行验证,结果表明新算法能够将3类数据正确分类。在此基础上,解算出的实时轨迹平稳且连续,测量数据的利用率明显提高。因此新分类算法的性能优于现有方法,对改善其他测量系统中的实时数据分类效果也具有借鉴意义。

A Realtime Classification Algorithm for Multi-Velocity Measurement Data

This paper proposes a new realtime classification algorithm for multi-velocity measurement data under response mode to improve target trajectory stability.First,this paper analyses the defects of the existing method.Second,it designs a new classification algorithm which can classify response data,beacon data and abnormal data.The key of the new algorithm is selection of suitable classification references.Theoretical trajectory and classified real measurement data at historical moments are used as classification references in different situations.Finally,the new algorithm is validated with two kinds of typical real measurement data corresponding to two kinds of master stations configuration mode,and the results show that the algorithm can classify three kinds of data correctly.On this basis,the realtime trajectory calculated is smooth and continuous and data utilization is evidently increased.Therefore,the new classification algorithm of this paper is better than the existing method and it has guiding significance for improving realtime data classification in different measurement systems.