数据融合关键技术在靶场实验系统中的应用

Applications of Data Fusion Key Technoligies on Shooting Range Testing System

通过比较数据融合各算法的优缺点,选择了适用于本系统的数据融合关键技术,如数据的时空校准技术、改进的快速JPDA 算法以及应用于一般非线性系统的推广Kalman滤波算法,并分别进行了详尽的描述;结合靶场实验系统的环境以及对于数据融合的要求,基于所选甩的数据融合关键技术,提出了解决靶场数据融合问题的可靠性方案;最后通过对靶场数据的计算机仿真充分说明了这种方案的有效性、可行性。

By comparing merits and faults of data fusion algorithms , chosen key technologies suitable for the shooting range testing system including time and interspaced adjusting techniques , improved fast JPDA algorithm , and EKF algorithm which is often used in nonlinear systems are expatiated in detail. Combined with the environment and data fusion requirements of shooting range testing system, and based on key technologies of data fusion, a reliable scheme is proposed to resolve the problem of shooting range data fusion. Finally, comput er simulation shows the validity and feasibility of this scheme.