摘要
针对多传感器数据加权融合问题,提出了一种基于最优权值的数据加权融合方法。通过分析融合权重对融合精度的影响,确定了数据加权融合的最优权值分配原则;通过对能够反映传感器实际测量精度的实测数据进行统计分析,构建了传感器实际工作状态下的近似测量精度计算模型。基于典型算例,对所提算法进行验证,结果表明:所提算法能够较好地解决多传感器数据加权融合问题,具有一定的理论意义和较好的应用价值。
Aiming at the problem of multi-sensors data weighted fusion,a data fusion method based on optimal weight value is proposed. The allocation principle of optimal weight is confirmed through analyzing on influence of fusion weight on fusion precision. The optimal weight allocation principle of data weight fusion. The approximate measurement precision calculation model of sensor in the actual work condition is built through statistics and analysis on actual measurement data which can reflect actual measurement precision of sensor. Typical example is used to validate the proposed algorithm,and the result shows that the problem of data weighted fusion of multisensors can be solved well by the algorithm,and has theoretical meaning and practical value.
作者
杨军佳
叶晨亮
冯少华
钱冰
YANG Junjia;YE Chenliang;FENG Shaohua;QIAN Bing(Zhengzhou Campus,Army Academy of Artilery and Air Defense,Zhengzhou 450000,China)
出处
《传感器与微系统》
CSCD
2020年第4期39-42,共4页
Transducer and Microsystem Technologies
关键词
多传感器
数据融合
测量精度
multi-sensors
data fusion
measurement precision