• 传感器管理是数据融合的一部分。

    Sensor management is a part of data fusion.

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  • 关键是要讲旧的和新的数据融合在一起。

    The key is to meld the old with the new.

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  • 这将推动跨多个平台的数据融合以及网络中心能力。

    This will be coupled with a shift toward data fusion across multiple platforms and a move toward network-centric capabilities.

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  • 讨论了数据融合与高阶神经网络的串行结合。

    Discusses the serial combination of high order neural network and data fusion.

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  • 态势估计是数据融合体系中的一个重要层次。

    Situation assessment is an important hierarchy of data fusion system.

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  • 数据关联是数据融合处理中基本的问题之一。

    Data association is one of basic questions in data fusion processing.

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  • 研究了基于多传感器数据融合的障碍检测问题。

    Study obstacle detection problem of data fusion based on multi-sensors.

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  • 提出了一种基于数据融合技术的火灾探测算法。

    A fire detection algorithm based on the data fusion technology was presented.

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  • 主要讨论了系统的分层要求、信息传输和数据融合。

    The level demand, information transmission and data fuse of system were mainly discussed.

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  • 航迹关联是组网雷达系统数据融合中的一项关键技术。

    The trace association is a key technology in data fusion of netted radar system.

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  • 在传感器融合中,集中与分散是指数据融合发生的地方。

    In sensor fusion, centralized versus decentralized refers to where the fusion of the data occurs.

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  • 为此,提出了一种基于数据融合的废气数据分析统计方法。

    For solving this problem a new analytic statistics method based on data fusion is put forward in this paper.

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  • 针对这一问题,进一步提出了基于分散滤波的数据融合方案。

    To solve this problem, the disperse filter data fusion scheme is proposed.

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  • 首先介绍了数据融合的分类和异类传感器数据融合的应用优点。

    In this paper, the classification of data fusion and application merits of dissimilar-sensor data fusion are discussed at first.

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  • 矢量空间数据融合中最难的问题来自于数据的多源性、不一致性。

    The most difficult problem in vector-vector data fusion is the multi-source and inconsistency of data.

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  • 文章提出了一种应用多传感器模糊数据融合技术的信息检测方法。

    The paper put forward an information detection method using fuzzy data fusion technology of multi-sensor.

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  • 传感器融合也称为(多传感器)数据融合,并作为信息融合的子类。

    Sensor fusion is also known as (multi-sensor) Data fusion and is a subset of information fusion.

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  • 多传感器数据融合引入ATR系统首先面临的是传感器的选配问题。

    The first problem is the sensor selection while the multisensor fusion is introduced in ATR system.

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  • 讨论了系统结构、知识表示、推理机、温度数据融合算法和智能控制方法。

    The paper discusses the system architecture, knowledge representation, inference mechanism, method of data fusion and intelligent control mechanism.

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  • 提出了一种基于多传感器数据融合的粮库温度监测系统,给出了数据融合算法。

    This paper presents a temperature measurement system for grain depot based on multi-sensor data fusion, and gives the data fusion algorithm.

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  • 此外,各种数据融合模型,包括回归和分布的建模,正在使用相同的三个生命体征进行开发。

    In addition, a variety of data fusion models, including regression and distribution modelling, were developed using the same three vital signs.

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  • 为了提高多传感器数据融合的精度,数据或航迹关联成为对目标跟踪滤波的关键。

    To improve the precision of multisensor data fusion, data or track association becomes the key of target tracking filter.

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  • 该方法利用数据融合技术降低了模糊控制器的输入维数,简化了模糊控制器的设计。

    It reduces the input dimension of the controller using data fusion technique and simplifies the fuzzy controller's design.

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  • 基于数据融合的思想,提出一种非线性系统的自适应神经网络模糊控制器的设计方法。

    Based on data fusion method, an adaptive neuro-fuzzy controller of nonlinear systems is presented.

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  • 从融合的层次结构出发,数据融合技术可分为数据级、特征级和决策级三个融合层次。

    According to the fusion levels, there are data level, feature level, decision level included in data fusion.

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  • ESP -SSA架构的相关技术包括传感器数据融合、企业传感器校准和分布式传感器资源管理。

    Technologies that will enable these architectures include sensor data fusion, enterprise sensor calibration, and distributed sensor resource management.

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  • 在本章最后,对常用的几种导航数据融合算法进行了分析和计算比较,得出一些有益的结论。

    At the end of this paper, some useful conclusions are summed up after analyzing and comparing several common-used methods of navigation data fusion.

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  • 将故障诊断系统按数据融合的方法分为数据级融合模块、特征级融合模块和决策级融合模块。

    The fault diagnosis system is classed into data fusion level module, feature level module and decision fusion level module according data fusion method.

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  • 首先对数据融合的定义、基本原理、融合层次、功能模型、融合方法等几个方面进行了综述。

    The definition, fundamental, fusion levels, process model, fusion methods of data fusion are summarized firstly.

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  • 首先对数据融合的定义、基本原理、融合层次、功能模型、融合方法等几个方面进行了综述。

    The definition, fundamental, fusion levels, process model, fusion methods of data fusion are summarized firstly.

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