基于非线性信息融合估计定理，推导出一种计算简单的迭代型非线性滤波方法。
Based on the nonlinear information fusion theorem, an iterative fusion estimation method with small computation cost was derived.
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.
基于多传感器多模型信息，给出了目标状态基于全局信息融合估计的一种新算法，并通过计算机仿真验证了这种算法的有效性。
Based on Multi_sensor Multi_model information, we present a new algorithm based on total information fusion estimation on target state. We prove the validity of this algorithm by computer.
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.
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.
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.
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.
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.
最后提出一种改进的贝叶斯算法融合多视觉信息来估计驾驶员的疲劳程度。
Finally, we propose an improved Bayesian algorithm to estimate driver's fatigue over integration of visual 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.
本文首先介绍了卡尔曼滤波器，对各种导航数据进行信息融合，从而组成导航系统，以获取系统状态的最优估计。
This paper first introduced the kalman filter, to all sorts of navigation data information fusion, thus constituting navigation system, in order to get the optimal estimation system state.
目前在信息融合领域广泛使用的融合算法是卡尔曼滤波，它在线性高斯模型下能得到最优估计，但在非线性非高斯模型下则无法应用。
The Kalman Filter is widely applied in the Information Fusion at the present, which can get the optimal estimate in the Linear-Gaussian model, but not applied in the nonlinear and non-Gaussian model.
将一种新兴的随机加权估计方法应用于多传感器数据融合，提出了一种将多源信息综合处理的随机加权数据融合方法。
By applying an emergent random weighting estimation method to multi-sensor data fusion, a random weighting data fusion method of multi-source information disposing was proposed in this paper.
从误差测量环节入手，基于IR/MMW双模结构，采用信息融合处理技术提高其估计跟踪精度，最终达到降低制导误差，提高武器性能的目的。
Based on IR/MMW dual-mode, information fusion technology, was provided to improve estimated tracking precision, finally reduce guidance error and enhance performance of weapons.
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。
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.
文中比较了三种融合估计的精度和计算负担，可应用于信息融合状态或信号最优估计。
Their precision and computational burdens are compared. They can be applied into optimal information fusion estimation for the states or signals.
文中比较了三种融合估计的精度和计算负担，可应用于信息融合状态或信号最优估计。
Their precision and computational burdens are compared. They can be applied into optimal information fusion estimation for the states or signals.
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