多传感器数据融合中基于模糊逻辑和神经网络的传感器管理

Sensor Management Based on the Fuzzy Logic and Neural Network in Multisensor Data Fusion

在多传感器数据融合系统中 ,传感器的管理包括两个方面的问题 ,一是如何优化分配现有的传感器去更好地实现融合任务 ;二是如何消除外界环境变化或者某些传感器出现故障时带来的影响 .针对这些问题 ,本文在给出多传感器数据融合系统矩阵表示的前提下 ,提出了一种基于模糊逻辑和神经网络的传感器管理方法 .分析表明该方法较好地解决了多传感器数据融合系统中传感器管理问题 .

In the multisensor data fusion system, sensor management has two problems. One i s how to optimize and assign the most suitable sensor to realize the fusion task , the other is how to remove the effect of the failed sensor. To solve these pro blems, this paper presents a sensor management method based on the fuzzy logic a nd neural network, while it gives the matrix express of the fusion system. The s imulation result illustrates that this method solves the sensor management in th e multisensor data fusion system.