On the other hand, state estimation plays an important role in systems and control theory, signal processing and information fusion.
另一方面，状态估计问题在系统与控制理论、信号处理与信息融合中有很重要的应用。
Information fusion is one of the key technologies in modern avionics systems.
信息融合是现代机载航空电子系统的关键技术之一。
Multi-sensor information fusion state estimation problem for descriptor discrete-time stochastic linear systems is studied.
研究了广义离散随机线性系统的多传感器信息融合状态估计问题。
The problem of multi-sensor information fusion state estimation for descriptor discrete-time stochastic linear systems is considered.
考虑了广义离散随机线性系统的多传感器信息融合状态估计问题。
Specially, they can be applied to solve the self-tuning information fusion filtering problems for systems with unknown model parameters and noise statistics.
特别可用于解决含有未知模型参数和噪声统计系统的自校正信息融合滤波问题。
In most geographic information systems, geometry rectification is one of the important matters to multi-source geographic information fusion accessorily.
而在大多数地理信息系统中，几何纠正是辅助多源信息融合应用必不可少的功能之一。
In order to fuse location information from different techniques applied in vehicle navigation systems, a cascade fusion architecture was proposed.
采用了一种分层级联的信息融合结构，对车辆导航系统中应用不同导航定位技术得到的定位信息进行融合。
The correlations between measurement noises and processing noises are added to the gain matrix of tracking filter, so information that can describe multi-sensors fusion systems is increased.
在跟踪滤波器的增益阵中引入测量噪声与过程噪声的相关量和测量噪声之间的相关量，增加了描述多传感器融合系统的信息量。
In this paper, we study the information fusion algorithm of multi-sensor time-delayed systems with measurement data loss.
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。
As a result of heterogeneity of network knowledge resources, knowledge fusion systems have to integrate and combine the multi-source data and information and reduce the ambiguity.
由于网络知识资源的异构性，知识融合系统需要对多源数据、信息进行集成与整合并消除歧义。
The filtering methods based on information fusion estimation in linear or nonlinear systems was presented for the filtering problem in discrete dynamic stochastic system.
针对离散随机动态系统的滤波问题，提出了基于信息融合估计的线性和非线性滤波方法。
The filtering methods based on information fusion estimation in linear or nonlinear systems was presented for the filtering problem in discrete dynamic stochastic system.
针对离散随机动态系统的滤波问题，提出了基于信息融合估计的线性和非线性滤波方法。
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