立体边防监视系统与多传感器信息融合技术研究

Study on 3D Border Surveillance System and Multi-sensor Information Fusion Technology

摘要:

基于柏林噪音理论构建了立体边防监视系统的地形模型,设计了包含边海防感知层、边海防网络信息传输层、边海防智能应用层的立体边防监视系统,并在建立多传感器组合簇数据库的基础上,运用基于修正模糊理论和D-S证据决策的航迹关联算法对立体边防监视系统多传感器进行了融合算法。仿真实验证明,基于多传感器组网探测的边海防立体监视系统的探测准确率要高于单一传感器的探测预警率。

Abstract:

Based on the Berlin noise theory, the terrain model of the stereo border surveillance system was constructed. A three-dimensional (3D) border surveillance system was designed, which consists of the three layers of frontier and coast defense sensing, network information transmission and intelligent application. And based on building the multi-sensor cluster database, the multi-sensor fusion algorithm was performed on the designed 3D border surveillance system by combining the modified fuzzy theory with the track association algorithm based on D-S evidence decision. Simulation results show that the detection accuracy of the system based on multi-sensor networking is much higher than that of single sensor system.