Multi-sensor Data Fusion Methods Based On The NFE Model

摘要

An adaptively learning fusion processor, capable of fusion of a mix of information at the data, feature and decision levels, acquired from multiple sources is presented, NFE Model represents BP Neural Network, Fuzzy Reasoning and Expert System, and this model can be used in position level, knowledge level, detection level and attribute level. This model can be employed in the complex interference environment. The results show the benefits of the fusion process and demonstrate the utility of this model.