Based on the technology of data fusion, a method is presented to process distributed detection parameters. This method can efficiently improve the precision of measuring result.
介绍一种采用数据融合技术对分布式检测参数进行数据处理的方法，可以有效地提高测量结果的精度。
Aiming at this case, this paper USES a method of grey superior analysis based on adaptive weighted data fusion to process the sensor data.
针对这一情况，本文应用了一种基于自适应加权数据融合的灰色优势分析方法对传感器数据进行处理。
The normal plot fusion method needs to calculate weight coefficients from the measurements, and the weight coefficients are constant in data fusion process.
常用的点迹融合算法是基于测量数据统计加权的融合算法，其权系数在整个融合过程中固定不变。
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