A method of grey superior analysis based on adaptive weighted data fusion is used to process the multi-sensors data.
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。
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。
According to the noise contained in many sensor data, an algorithm based on support degree and adaptive weighted spatial-temporal fusion of the multi-sensor is proposed.
针对多传感器测量数据中含有的噪声，提出一种基于多传感器支持度和自适应加权时空融合算法。
Considering the concrete instance of the OE tracking and measuring system, it takes the weighted average method as the data fusion method after analyzing the data fusion structure.
从光电跟踪系统的具体情况出发，经过对数据融合结构的分析，确定融合方法为加权平均的融合方法。
Weighted method of data fusion is a simple and effective method, and the weighted coefficient determines the effect of fusion.
加权求和是信息融合处理中一种简单、有效的方法，但如何确定加权系数，将直接影响到融合处理的效果。
The problem of multi-sensor target identification is researched, a new approach to weighted evidence data fusion is proposed.
给出了证据理论的基本概念、组合规则、加权证据组合及决策规则，同时给出简单的多传感器信息融合模型。
The problem of multi-sensor target identification is researched, a new approach to weighted evidence data fusion is proposed.
给出了证据理论的基本概念、组合规则、加权证据组合及决策规则，同时给出简单的多传感器信息融合模型。
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