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。
A new technology emerges recently to the multisensor information integration and fusion (in short of MIIF), which takes on better practicality and superiority.
多传感器信息集成与融合在处理信息中呈现出较好的实用性和优越性。
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。
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。
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。
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。
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。
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。
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 purpose of image fusion is to merge complementary information from multisensor data for visual perception, such as surveillance and reconnaissance.
图像融合的目的是把来自多传感器数据的互补信息合并形成一幅新的图像，以便更好地进行监视和侦察之类的视觉感知。
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。
This dissertation considers state fusion estimation of multisensor information fusion theory. The main work of here is to solve the problems when fusion estimation theory is applied in practice.
本文的研究内容为多传感器信息融合理论中的状态融合估计理论，主要针对精确估计的实际应用中，状态融合估计理论存在的一些问题提出了解决方法。
The problem arises in a multisensor environment where each sensor has its information tracking subsystem, the key is how to fuse two tracks from the same target.
充分利用目标的位置、速度信息进行航迹融合，在一定条件下能够改善目标的航迹精度。
A method based on the combination of Grey Association Analysis and D-S Theory for radar target identification of multisensor information fusion is put forward.
提出了基于灰关联分析与D—S证据理论的多传感器雷达辐射源识别方法。
With the help of complementary data information of multisensor, a new image is reconstructed by image fusion, which provides richer visual information than the original images.
图像融合把来自多个传感器数据的互补信息合成一幅新的图像，提供比原图像更丰富的视觉信息。
The redundant or complementary information of multisensor in space or time is used to detect and isolate the fault sensors.
利用多个传感器在空间或时间上的冗余或互补信息，为故障的检测和分离提供诊断依据。
The asynchronous information fusion in the multisensor system is solved by a new concentrating filter which uses the structure of the sub-federal filter as reference.
基于联邦滤波算法，通过对状态方程有色噪声的拟合和预报，给出了含有有色噪声的联邦滤波融合算法，并利用模拟数据进行了试算与比较。
The asynchronous information fusion in the multisensor system is solved by a new concentrating filter which uses the structure of the sub-federal filter as reference.
基于联邦滤波算法，通过对状态方程有色噪声的拟合和预报，给出了含有有色噪声的联邦滤波融合算法，并利用模拟数据进行了试算与比较。
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