多传感器数据融合系统中辐射源识别技术占有重要的位置。
Emitter recognition is an important part in multi-sensor information fusion system.
针对分布式多传感器数据融合系统，提出了一种多传感器异步航迹融合算法。
For distributed multisensor data fusion system, a multisensor asynchronous track fusion algorithm is proposed.
在分布式多传感器数据融合系统中，各单传感器类型不同情况下的融合问题是一类普遍的问题。
In distributed fusion system, the problem that sensors of the system are of different type is a widespread problem.
目前，已经有多种用于支持海上战术和战略方法的海上侦察(MS)的多传感器数据融合系统。
Currently various multisensor data fusion architectures for the maritime Surveillance (MS) in maritime tactical and strategic operations.
随着人们对多传感器数据融合系统的性能要求越来越高，仅仅依赖某一种融合方法是难以达到要求的。
With people's requirement to multi-sensor data fusion system performance becomes higher and higher, it can not achieve the requirement only rely on one fusion method.
本文主要针对该系统的机载多传感器数据融合部分进行数据的预处理研究，内容包括：时间对准、坐标对准和数据关联。
This study mainly carry on the pretreatment research of the data from airborne multi-sensor system. The content includes: time alignment, coordinate alignment and data association.
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.
本文主要从多传感器数据融合和虚拟仪器两方面介绍了一种电磁场强测量系统的设计方法。
This paper introduces the design method for intensive electromagnetic field measuring system with respect to multi sensor data fusion and virtual instruments.
提出了网络安全中基于多传感器数据融合技术的入侵检测模型，并对入侵检测系统的体系结构进行了详细介绍。
This paper advances an invasion detection model in the network security based on multi-sensor data fusion, and introduces in detail the structure of invasion detection system.
设计了一种基于BP网络和多传感器数据融合的图像识别系统。
This paper designs an image recognition system based on BP neural network and multi-sensor data fusion.
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.
本文研究了多传感器组合系统的智能化数据融合方法。
In this paper, the intelligence method of data fusion about multiple sensors control system is discussed.
因此，移动机器人系统涉及的关键技术包括多传感器数据集成与融合、环境建模、控制体系结构和路径规划以及学习机制等。
So main researches in the field of mobile robot are focus on multisensor integration and fusion, world model, control architecture, path planning and knowledge learning etc.
应用多传感器检测系统数据融合算法，实现原油储罐动态油量的实时计量。
The calculating dynamic oil quantity in real time can be realized using the data fusion algorithm in measurement system based on multi-sensor.
基于多传感器数据融合的火灾预警系统由传感器、数据处理融合、集中控制器、报警、执行和通信等模块组成。
Fire alarm system based on multi-sensor information fusion is composed of sensors, data fusion processor, concentrated controller, alarm, executing, and communication modules.
目的通过估计误差方差阵，对多传感器组合导航系统中不同的融合数据进行定位精度比较，为系统定位提供选择数据的依据。
Aim Using the variance matrix of estimated error, positional accuracy can be compared with different mixing together data, it has put forward a kind of basis for system location to select data.
考虑到单传感器的系统存在着局限性，提出了基于多传感器(雷达和红外)信号融合的目标识别和跟踪系统，以利用数据的互补和冗余。
This paper presents the approaches of multi sensor (radar and infrared sensor) data fusion for object recognition and tracking, which can make use of the complement and redundancy of data.
人类神经系统是多传感器环境下最为灵活的数据融合体系结构。
The nervous system of human being is probably the most flexible paradigm of data fusion architectures in multisensors fusion environment.
在虚警和漏检、密集目标环境下，该算法应用于多传感器多目标融合系统仿真，结果表明所述算法在多目标数据关联中有较好的可行性和优越性。
Under false alarm, miss detection and dense targets environment, this method is used in multisensor multitarget fusion system, and the result testifies that it can solve the association problems.
随着多传感器复杂大系统的不断出现，多传感器数据融合技术已经受到广泛关注。
With the continuous appearances of complex multisensor large-scale systems, multisensor data fusion technique has attracted comprehensive attention.
多传感器组合系统数据融合技术是当代探测、识别领域的一项新技术。
Data fusion of an integrated multisensor system is an advanced technology for target detection, recognition and tracking.
采用层次型数据融合结构，研究了防空作战(AAW)系统中多类传感器航迹相关问题。
Hierarchical fusion architecture is used to solve the problem of multiple sensors track association in AAW system.
本文针对多传感器时滞系统，研究测量数据发生丢失情况下的的信息融合算法。
In this paper, we study the information fusion algorithm of multi-sensor time-delayed systems with measurement data loss.
针对多传感器跟踪系统的数据融合技术，分析了雷达和ADS - B的报告不同步、误差影响和机动检测等几个关键问题。
For data fusion technology of MSTS, this paper addresses some of key issues of radar and ADS-B reports, these key issues include time synchronization, bias influence and maneuver detection.
论述了火灾探测器设计和安装方式，研究了多传感器火灾监测系统及其智能化数据融合方法、数据处理、故障检测和系统可靠性等方面的基本问题。
It discussed the conflagration monitoring system with multisensor and its basic problems of intelligent method of data fusion, data processing, fault detection and systems reliability.
论述了火灾探测器设计和安装方式，研究了多传感器火灾监测系统及其智能化数据融合方法、数据处理、故障检测和系统可靠性等方面的基本问题。
It discussed the conflagration monitoring system with multisensor and its basic problems of intelligent method of data fusion, data processing, fault detection and systems reliability.
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