一种基于模糊控制的多传感器管理算法的研究  

Research on multi-sensor management algorithm based on fuzzy control

作　　者：王璐[1] WANG Lu(Railway Police College,Zhengzhou 450053,China)

机构地区：[1]铁道警察学院,河南郑州450053

出　　处：《电子设计工程》2018年第21期47-51,56,共6页Electronic Design Engineering

基　　金：中央高校基本科研业务经费项目(2018TJJBKY019);河南省高等学校重点科研项目(19B510008);河南省科技攻关计划项目(032102210065)

摘　　要：针对空中多目标识别过程中涉及的传感器管理问题,提出了一种基于BP神经网络与模糊控制模糊逻辑的多传感器管理算法。该算法首先运用改进的BP神经网络对目标类型进行识别确定类型信息及其综合可信度,再通过模糊隶属函数对该可信度与传感器性能模糊化,依据模糊推理规则实现目标识别中的传感器管理。通过模拟实验的仿真结果表明,该算法较大地提高了目标识别的可信度,证明了基于BP神经网络与模糊控制的多传感器管理算法在目标类型识别中的合理性和有效性。This paper gives a multi-management algorithm based on BP neural networks and fuzzy control for aerial target recognition. Initially,an optimized project of back propagation training is introduced by using neural networks to identify the type of the target and its synthesis reliability,then it makes the performance of the sensor and synthesis reliability fuzzy by the fuzzy subordinate function,and accomplished the sensor management by fuzzy reasoning rules. The results of the simulation show that the proposed algorithm significantly improves the credibility of the target recognition and proved the rationality and effectiveness of the BP neural network and fuzzy control-based multi-sensor management algorithm in the target recognition.

关 键 词：目标识别 传感器管理 BP神经网络 模糊控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]