The background, conception, control frameworks, the partition of fusion level and the predicting trend in development of multisensor information fusion are described in this paper.
本文较为全面的介绍了多传感器信息融合技术的背景、概念、控制结构、融合层次的划分等内容，并预测其将来的发展趋势。
A multisensor data fusion method based on Dempster-Shafer evidence theory is described, and an improved algorithm of D-S is put out to solve the dependent information in data fusion.
阐述了基于D -S证据理论的多传感器信息融合算法，提供一种基于D - S理论的改进方法以解决融合信息的相关性问题。
In a multisensor environment, each sensor processes its own measurements to form local tracks and then transmits them over a data link to a fusion center.
在多传感器环境下，多个传感器在同一区域观测目标，各传感器可能采用不同的目标模型处理各自的测量数据，形成各自的目标航迹送到融合中心。
To improve the precision of multisensor data fusion, data or track association becomes the key of target tracking filter.
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。
This paper presents a new method of multisensor data fusion for measuring the temperature based on parameter estimation, and gives the data fusion algorithm.
本文提出了一种基于多传感器参数估计数据融合的热处理炉温度测量方法，给出数据融合算法。
Due to the reasons of sensors in itself and the communication delays, the research of the asynchronous multisensor data fusion problem is more practical than that of synchronous one.
由于传感器自身以及通信延迟等原因，使得异步多传感器数据融合问题比同步问题的研究更切合实际。
However, the multi level fusion architecture, another important multisensor information fusion mode, has not been applied to the integrated navigation system as far as know.
而分层融合结构作为多传感器信息融合的另一种重要的模式，在组合导航系统中应用尚未见报道。
The multisensor integration and data fusion is key technology for high precision measurement system.
多传感器数据融合是进行高精度检测的主要方法和关键技术。
Techniques in multisensor target identity fusion for target identification are described in this paper.
本文针对目标识别问题，论述了多传感器目标属性融合技术。
To solve the distributed attacks efficiently, this paper presents the Distributed Intrusion Detection Model Based on Multisensor Data Fusion and Mining (DIDM).
为有效解决分布式攻击，提出了基于多传感器数据融合与挖掘的分布式入侵检测模型。
The method of utilizing multisensor data fusion to estimate UAV state parameters is proposed.
提出了利用多传感器数据融合的方法估计无人机的状态参数。
For improving accuracy of conflict judgement in multisensor information fusion, a multi-evidence conflict function to judge the conflict evidence is proposed.
为了提高多传感器信息融合中冲突判决的准确性，提出了用多个证据冲突函数对证据冲突进行判决。
The fundamental program to multisensor data fusion is track correlation and track fusion.
航迹相关和航迹融合是多传感器数据融合技术中最基础的部分。
For this special multisensor system, distributed optimal fusion algorithm is received by avoiding computing correlated estimation covariance based on the matrix operation.
在这类特殊的多传感器系统中，本文通过矩阵运算消除相关估计方差，得到了最优分布式融合估计算法。
Multisensor data fusion technique has been widely used in remote sensing image processing.
多传感器数据融合技术已广泛应用于遥感图象处理方面。
The target track in the multisensor multitarget tracking fusion contains the fuzzy information which was described by the fuzzy membership function.
多传感器多目标跟踪融合中的目标航迹包含了模糊信息，这种模糊信息可以用模糊隶属度函数来描述。
The existing researches of multisensor data fusion applied in robots focus mostly navigation and orientation, and a few re-searches about the object tracking using robots are reported.
当前应用于机器人的多传感器数据融合研究大都集中在机器人自主导航和定位问题上，很少涉及利用机器人进行目标跟踪的研究。
The problem of active passive multisensor multitarget state information fusion is studied.
研究了主被动多传感器多目标状态信息融合问题。
The first problem is the sensor selection while the multisensor fusion is introduced in ATR system.
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。
Multisensor multitarget state information fusion is studied in this paper.
研究了多传感器多目标状态信息融合问题。
Multisensor fusion is an important research area in information subject, and the purpose of this paper is to fuse the multi-sensor information that is distributed at multiscale.
多传感器信息融合是信息学科的重要研究方向，本文的目的就是对分布在多个尺度上的传感器信息进行融合。
In the MultiSensor Information Fusion system the association of ESM data and radar data is a very important part.
多传感器信息融合系统中雷达与电子支援措施关联部分十分重要。
In this paper, multisensor attribute information fusion is studied.
研究多传感器特征信息融合问题。
This article briefly analyzes the Multisensor Data Fusion(MSDF) technology theory, as well as its research techniques.
简要分析多传感器数据融合技术的理论及研究方法。
Multisensor information fusion refers to any procedure where different sources of sensory data in the integration process are combined into one representational format.
多传感器信息融合是指将经过集成处理的多传感器数据进行合成，形成对外部环境某一特征的一种表达方式的过程。
By applying Multisensor Data Fusion and Data Mining to intrusion detection, DIDM provides the comprehensive assessment of network attack and defense situations continuously and globally.
将多传感器数据融合与数据挖掘技术应用到分布式入侵检测中，可连续和全面地提供网络攻防战场环境态势的综合评估。
A new multisensor distributed track fusion algorithm is put forward based on combining the feedback integration with the strong tracking Kalman filter.
研究基于强跟踪滤波和反馈综合相结合的多传感器分布式航迹融合算法。
Multisensor fusion system is characterized by its highly fault toleration.
多传感器融合系统具有高度的容错性能。
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.
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。
In a multi-node distributed multisensor fusion system, the problem of track correlation can be transformed to a problem of multi-dimension assignment.
在多节点分布式多传感器融合系统中，航迹关联问题可以化为多维分配问题。
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