YANG Junjia, YE Chenliang, FENG Shaohua, et al. Method of data weighted fusion for multi-sensors[J]. 2020, (4): 39-42. DOI: 10.13873/J.1000-9787(2020)04-0039-04.
多传感器数据加权融合方法
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。
Abstract
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