多传感器测量数据的切尾加权融合算法

为了对随机扰动环境中得到的管道壁厚测量数据进行稳健融合估计, 提出了一种多传感器测量数据的切尾加权融合算法。利用数据探测技术中的切尾均值概念构造最优加权因子, 从而求得多传感器测量数据的稳健融合估计值。融合实例表明, 该算法能有效地提高系统测量的稳健性, 且具有精度高、运算简单的特点。
关键词　多传感器　数据融合　信号处理　管道　无损检测
Abstract　A t rimmed mean- based weigh ted fusion algo rithm is developed fo r the robust fusion of the wall lo ss measurement data w ith a stochast ic no ise from mult isenso r1 The t rimmed mean method in exp lo rato ry data anal2 ysis is used to build the op t imal weigh ted facto rs, and the robust fused data of mult isenso r data is obtained as a result1 The fusion result s show that the robustness of themeasurement system is evident ly enhanced, and the al2 go rithm has specific advantages over some convent ional algo rithm s such as h igh- accuracy, and h igh- efficiency1
Key words　M ult isenso r　Data fusion　Signal p rocessing　P ipeline　Nondest ruct ive test ing