【摘要】 在雷达 红外双模制导体制下 ,对雷达和红外数据进行融合时存在雷达和红外数据不同步的问题 ,对红外数据先进行异步融合处理使其与雷达数据保持同步 ,然后提出了利用神经网络作为同步融合中心的方法 .雷达和红外数据共同作为神经网络的输入 ,输出为目标的最优融合估计 .这种方法可以在融合中心不知道协方差信息的情况下进行数据融合 .仿真结果表明该方法有效更多还原

【Abstract】 During fusing radar and infrared data under the condition of radar infrared dual mode guidance,there is the problem that radar data is asynchronous with infrared data.The infrared measurements are fused first to keep synchronous with the radar measurements and the radar measurements are processed by Kalman filter.The processed data are transmitted to the central neural network where a fused estimation of target is formed.The goal of this pager is to propose a method for fusing data without covariance information.Simulation result demonstrates the effectiveness of this method.更多还原