摘要
该文针对复杂环境下的多传感器信息融合问题,提出了一种将神经网络(NN)、模糊推理(FR)与专家系统(ES)有机地结合在一起的智能化的信息融合NFE模型。从工程角度出发,分析提出3维完备的智能化信息融合模型的必要,综合考虑影响传感器置信度的各种因素(传感器性能、天气状况、电子干扰、杂波强度等),并进行权重分析,设计NFE置信度估计器,对传感器的输入信息进行置信度估计。仿真结果表明,该模型在置信度偏低、传感器发生故障等环境下,能有效地实现目标识别,并且识别结果更可靠。
Aiming at information fusion problem under complex environment,an intellectualized information fusion model,NFE model,which is an organic combination of Neural network,Fuzzy reasoning and Expert system is proposed.The necessity of constructing a complete three-dimensional intelligent information fusion model is analyzed from an engineering perspective.Considering various factors including sensor performance,weather situation,electronic interfere and clutter intensity that effect the credibility of sensors,analysis for weights of sensors is provided and credibility estimator is designed.Simulation experiments prove that the NFE model could realize target recognition effectively under the circumstances of low confidence and sensor fault etc.
出处
《电子与信息学报》
EI
CSCD
北大核心
2010年第3期522-527,共6页
Journal of Electronics & Information Technology
基金
国家自然科学基金(60872101)资助课题
关键词
信息融合
神经网络
模糊推理
专家系统
Information fusion
Neural networks
Fuzzy reasoning
Expert system
