应用自适应加权数据融合技术，实现两种传感器在功能上的互补。
The paper introduces the application of adaptive weighting data fusion technology to realize the complementation for the function of two kinds of sensors.
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多传感器数据进行处理。
The validity, accuracy and actual time of the algorithm for batched-estimation, self-adaptive weighting and variance-estimation are studied in multi-sensors data fusion.
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多传感器数据进行处理。
A method of grey superior analysis based on adaptive weighted data fusion is used to process the multi-sensors 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。
Aiming at this case, this paper USES a method of grey superior analysis based on adaptive weighted data fusion to process the sensor data.
将一种新兴的随机加权估计方法应用于多传感器数据融合，提出了一种将多源信息综合处理的随机加权数据融合方法。
By applying an emergent random weighting estimation method to multi-sensor data fusion, a random weighting data fusion method of multi-source information disposing was proposed in this paper.
将一种新兴的随机加权估计方法应用于多传感器数据融合，提出了一种将多源信息综合处理的随机加权数据融合方法。
By applying an emergent random weighting estimation method to multi-sensor data fusion, a random weighting data fusion method of multi-source information disposing was proposed in this paper.
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