摘要
运用各种有源和无源探测设备在内的异类多传感器集成提供多种观测数据,同时通过不同传感器之间的关联来提高数据精度,可以得到关于目标的更多特征信息,从而为身份识别﹑态势估计提供更多的依据.基于异类传感器的数据融合系统实现了雷达、ESM等异类传感器的数据关联与融合.仿真结果表明:系统能提供更高精度的数据,获得目标的更多特征信息,并可对目标实施有效识别.
By all kinds of dissimilar sensors of active and passive detectors working together to provide different observed data and the data relation of different sensors to improve the data accuracy, more feature information of targets can be obtained In this way more evidences to identification and situation estimation will be provided. The data fusion system based on dissimilar sensors has realized the relation and fusion of data from dissimilar sensors of radar, ESM and etc. The simulation results indicate that the system can provide higher accuracy data, get more feature information of targets and perform effective target identification.
出处
《船舶工程》
CSCD
北大核心
2007年第1期38-41,共4页
Ship Engineering
关键词
舰船
异类传感器
数据关联
数据融合
目标识别
naval vessels
dissimilar sensors, data relation, data fusion, target identification
