多传感器数据融合分两大类：估计融合，决策融合。
Multi-sensor data fusion has two main classes: estimation fusion, decision fusion.
在估计融合问题中，讨论了估计融合的中心式，分布式和混合融合结构；
In estimation fusion, three fusion architectures are considered: centralized, distributed, and hybrid.
本文基于最优估计理论，提出了一种多传感器分散估计融合算法，以解决测量噪声干扰下参数估计问题。
Based on the theory of the optimal estimation, this paper proposes a multi-sensors decentralized algorithm to solve the parameter estimation problems in noise environment.
论述了带反馈分布式信息融合系统中传感器观测维数不同时的状态估计方法。
The method of state estimation is discussed, when radars have different observation dimension in one distributed data fusion system with feedback.
该算法能充分利用纸机系统的各状态之间的强耦合性，利用纸机系统的可测量信息，融合多个测量输出估计纸机的某一个状态。
The algorithm can fully utilize the coupling performance between different states and the measurable information and fuse several outputs to estimate one state of paper machine.
该文提出一个有效的基于径向基函数神经网络的模型和状态数据融合的汽轮发电机智能估计方法。
An efficient model based on radial basis function neural network and intelligent estimating method for data fusion of the turbine-generator is presented.
基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
Based on linear unbiased minimum variance estimation theory, a fusion algorithm which fused the state vector of nonlinear systems with dissimilar sensors with arbitrary correlated noises is developed.
移动机器人的导航子系统利用卡尔曼滤波器，融合由视觉系统与由里程计获得的位置估计值。
The navigation subsystem of the mobile robot fuses the position estimation obtained by a vision system with the position estimated by odometry using a Kalman filter.
数据融合方法采用经典的自适应加权融合估计算法，配合智能判别技术，增强了火灾特征识别的可靠性。
Combined with intelligent recognition technology, data fusion technology adopts the classical self-adapting weighting fusion algorithm to increase the reliability of fire characteristics recognition.
也就是说，融合估计只由测量值的质量来估计。
That is, the combined estimate is weighted by the quality of the measurements.
其航迹融合过程包括低层次上的状态和属性估计及高层次上的战场态势和威胁评估。
Its track fusion process includes states and attributes estimation of low levels, it also includes battlefields situation and threaten evaluation of high levels.
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。
On the other hand, state estimation plays an important role in systems and control theory, signal processing and information fusion.
本文研究动态系统过程噪声对航迹统计距离和状态融合估计性能的影响。
This paper presents the effect of the common process noise on track statistical distance and performance of state estimation fusion.
有源雷达和无源雷达系统误差估计是实现有源无源雷达信息高精度融合的关键环节之一。
System error estimation for active radar and passive radar is the key for realizing high precision Information fusion of passive radar and active radar.
给出一种基于噪声方差估计的稳健融合算法。
A robust fusion algorithm based on noise variance estimation is presented.
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。
The method of utilizing multisensor data fusion to estimate UAV state parameters is proposed.
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。
Multi-sensor information fusion state estimation problem for descriptor discrete-time stochastic linear systems is studied.
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。
The problem of multi-sensor information fusion state estimation for descriptor discrete-time stochastic linear systems is considered.
针对组合导航系统在数据处理时存在的计算量大和故障数据相互污染的问题，提出了一种基于信息融合的导航参数最优估计滤波方法。
A new method of optimum navigation parameter estimate based on information fusion is presented in this paper in view of the heavy calculation and faulted data spread in integrated navigation system.
在初步分离结果的基础上，利用多模型融合滤波算法对故障进行精确定位并得到状态和故障的融合估计。
Then based on the primary isolation result, the fault is accurately located by the multiple-model fusion filtering algorithm, and the fused state and fault estimates are obtained as well.
雷达和红外数据共同作为神经网络的输入，输出为目标的最优融合估计。
The processed data are transmitted to the central neural network where a fused estimation of target is formed.
同单传感器情况相比，可提高融合估计精度。
Compared to the single sensor case, the accuracy of fused estimation is improved.
将强跟踪滤波理论与多传感器数据融合估计方法相结合，提出基于强跟踪滤波器的多传感器数据融合估计新算法。
By combining the strong tracking filtering theory with data fusion estimation approaches, we put forward a new fusion estimation algorithm of multi sensor based on strong tracking filter.
虚拟传感器的层数增加时，融合后总的估计误差将减少。
The total number of estimation errors from data fusion will be decreased when layers of virtual sensors are increased.
在建立了样条函数表示载机真实航迹的模型后，采用多测量信号联合估计样条系数的方法实现融合。
We express the true trajectory of the aircraft by means of spline function, and then use measuring data from multichannel to estimate the spline coefficient.
该方法依据极大似然原理将来自不同母体(均值相同、方差不同)的随机样本有效融合，得到新的母体均值估计量。
According to maximum likelihood theory, it fuses random samples coming from different matrix (same mean different variance) in an effective way, and gains a nwe estimator of matrix mean.
本文主要针对多通道带乘性噪声系统的观测噪声最优估计算法和状态最优融合估计算法展开进一步研究。
The optimal estimation algorithm of measurement noise and the optimal state fusion algorithm for multi-channel system with multiplicative noises are mainly researched in this dissertation.
利用贝叶斯参数估计算法进行多特征信息融合。
Then, Bayesian parameter estimation algorithm was applied to fuse multi-characteristic information.
利用贝叶斯参数估计算法进行多特征信息融合。
Then, Bayesian parameter estimation algorithm was applied to fuse multi-characteristic information.
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