一种多源信息融合方法及其应用

Multi-source information fusion and its application

介绍了一种多传感器数据融合的新方法 .对于一个传感器无法实现准确测量的场合 ,加入一个辅助传感器 ,能够比较全面地反映对象或目标的全部信息 .使用模糊理论 ,将测量信号模糊化 ,使得对信息量的“依赖程度”减轻 .根据传感器作用域的不同 ,使用信息补充和证据增强 (或削弱 )原则 ,将两个信号进行融合 .仿真结果表明 ,这种多传感器数据融合的方法 。

Presents a new method to fuse multi sensor information. In some cases, we can not get the accurate result from one sensor. However, we can show all the information of the object in the round by adding another assistant sensor. Using a fuzzy measure method, we can reduce the dependence on the level of information. Based on the different function field of the sensor, we fuse two signals by Knowledge Source Corroboration and Belief Enhancement/Withdraw. The result of the emulation shows that this method can solve the problem that one sensor can not solve.