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基于支撑裕的一致性多传感器融合算法
引用本文:张璨,张利,刘征宇.基于支撑裕的一致性多传感器融合算法[J].电子测量与仪器学报,2010,24(8):711-715.
作者姓名:张璨  张利  刘征宇
作者单位:1. 合肥工业大学试验班,合肥,230009
2. 合肥工业大学机械与汽车工程学院,合肥,230009
基金项目:广东省教育部产学研结合项目,国家大学生创新性实验计划项目 
摘    要:针对多传感器的加权融合算法,提出了一种基于支撑裕的算法。先构造支撑裕函数,通过参与融合的数据生成支撑裕矩阵,同时将一致性因素引入到支撑裕矩阵中并代替原有的恒定因素‘1’,为可靠的传感器赋予较多的权重影响。通过改进的支撑裕矩阵度量各传感器的综合支撑裕度,最终将综合影响表现在各数据所占的权重中,形成一种新型加权融合算法。在实例分析比较中可看出,相比已有的算法,该算法在精度和抗干扰能力上都有所提高。

关 键 词:多传感器  支撑裕  一致性  加权融合

Consensus multi-sensor data fusion algorithm based on support degree
Zhang Can,Zhang Li,Liu Zhengyu.Consensus multi-sensor data fusion algorithm based on support degree[J].Journal of Electronic Measurement and Instrument,2010,24(8):711-715.
Authors:Zhang Can  Zhang Li  Liu Zhengyu
Affiliation:Zhang Can1 Zhang Li2 Liu Zhengyu2(1.Experimental class,Hefei University of Technology,Hefei 230009,China,2.School of Machinery and Automobile Engineering,China)
Abstract:Focusing on multi-sensor weight data fusion algorithm,an algorithm based on support degree is proposed.Firstly,a support degree function is defined to build a support degree matrix with the data to be fused.The consensus factor of sensors is considered to replace the invariable factor ‘1’ during the time the support degree matrix is built,thus the reliable sensor will get more weight.Then,the synthesis support degree of data from various sensors is measured through the improved support degree matrix.Finally,the reasonable choice of weight is realized by making use of the synthesis support degree of data and a new kind of weight data fusion algorithm is formed.The applied example proves that the proposed method can reach higher fusion precision and better restraint ability against disturbance than existing methods.
Keywords:multi-sensor  support degree  consistency  weighted fusion  
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