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.
multi-velocity systemclassification algorithmresponse databeacon data
NETL
NSTL
维普
万方数据
