基于被动雷达和红外传感器的数据融合

A Data Fusion Algorithm Based on Fusion of a Passive Radar and an Infrared Sensor

提出基于被动雷达和红外传感器组成的复合探测系统,利用D-S证据理论提高目标识别率,借助神经网络改善目标跟踪算法的性能,同时保持跟踪滤波的计算结构尽可能简单,尤其是减少了数字计算上的复杂性。仿真结果表明了应用新算法的复合探测系统的有效性。

A combinate detective system based on passive radar and infrared sensor is presented. The fusion of the identification based on Dempster-Shafer is improved by the new system. The performance of maneuvering target tracking algorithm is increased using neural network. The simplicity of the algorithm is kept by new structure. Computation complexities is reduced and calculation speed is improvement. Simulation results show that the proposed algorithm has significant.