Research on Multi-Sensor Flight Path Fusion and Forecast Models

摘要：

As the requirement of the accuracy of the goal pinpointing is getting higher and higher in modern military, we propose the optimal-adaptive weighting fusion algorithm, particularly considering the unreasonable information fusion for high-conflict in the multi-sensor system. In the multiple source system, the time matching algorithm is proposed firstly, which synchronizing the sensor information to the same time, filtering out the noise information using the Kalman filter and improving the weighting fusion algorithm using the optimal-adaptive weighting fusion algorithm. It is shown that the new method can better solve the problem of flight path fusion of multi-sensor, which has been proved by analyzing the effects of kinds of fusion in simulation experiments.

关键词： Sensor Flight path fusion Flight path forecast Grey theory

作者: Chenghu Niu Shengwu Zhou

作者单位: China University of Mining and Technology, Xuzhou, 221116

会议类型: 国际会议

会议名称: The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)

会议地点: 无锡

会议语种:英文

页码: 376-380

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）