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Multi-sensor data fusion based on the eigenvector of relation matrix

机译:基于关系矩阵特征向量的多传感器数据融合

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摘要

A data fusion approach based on eigenvalues and eigenvectors of relation matrix of multi-sensor is proposed. Features of relation matrix are extracted and the information of relation matrix is fully utilized by eigenvalues and eigenvectors of relation matrix. This approach overcomes the problem of influenced by expert experience in threshold settings by the optimal sensor group selected through fusion weight. Finally, the result of digital simulation demonstrates that this approach can be simply calculated with high accuracy and excellent robustness.
机译:提出了一种基于多传感器关联矩阵特征值和特征向量的数据融合方法。提取关系矩阵的特征,通过关系矩阵的特征值和特征向量充分利用关系矩阵的信息。通过融合权重选择的最佳传感器组,该方法克服了阈值设置中的专家经验所影响的问题。最后,数字仿真的结果表明,该方法可以简单地以高精度和出色的鲁棒性进行计算。

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