密集回波环境下的回波相关点集实时融合处理算法

Algorithm of real time fusion process of echo association point aggregation under environment of coarctation echo

分析了数据融合理论中传统有效矩阵处理方法存在的问题 ,提出了一种随回波密度的改变而改变的相关点集实时融合处理算法 .将该方法用于联合概率数据关联 (NJPDA) ,并经计算机实时仿真检验表明 ,该算法既能提高跟踪系统的实时性 ,又具有较高的跟踪精度 。

In this paper,the existing problem of traditional method to deal with the availability matrix in the theory of data amalgamation are analyzed,and a algorithm of real time fusion process for echo association point aggregation is put forward.The algorithm has been used to fast stochastic neural joint probabilistic data association(NJPDA).The examination of computer real time emulator is showed that it can provide the better quality of real time,better tracing precision,and the better algorithm of real time.