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。
For this special multisensor system, distributed optimal fusion algorithm is received by avoiding computing correlated estimation covariance based on the matrix operation.
本文主要针对带乘性噪声系统的多传感器最优滤波融合估计算法作进一步研究。
The optimal filtering fusion algorithms for systems with multiplicative noises under multi-sensor observation are mainly researched in this dissertation.
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.
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.
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。
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.
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.
目的通过估计误差方差阵，对多传感器组合导航系统中不同的融合数据进行定位精度比较，为系统定位提供选择数据的依据。
Aim Using the variance matrix of estimated error, positional accuracy can be compared with different mixing together data, it has put forward a kind of basis for system location to select data.
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.
针对异步融合中心计算量大、实时性差的问题，基于估计协方差控制理论提出了一种多传感器异步数据融合算法。
In view of the heavier calculation burden and worse real-time of asynchronous fusion center, a multi-sensor asynchronous data fusion algorithm based on estimate covariance control was proposed.
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.
基于多传感器单模型动态系统的多尺度估计理论，研究了不同尺度上拥有不同统计特性的多尺度融合算法及多尺度分布式融合估计算法。
Basing multiscale estimation theory of multi-sensors and single-model of dynamic system, the multiscale fuse algorithm and multiscale distribute fuse algorithm were studied respectively.
深入研究了多传感器数据融合的理论方法，并实验研究了数据融合的估计理论在光电经纬仪中的应用，目的是实现对目标状态的预测。
The theory method of multi-sensor data fusion is studied deep. And more, the estimate theory of data fusion is applied concretely to the theodolite with the aim of prognosticating the object state.
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.
研究了有关分批估计、自适应加权和方差估计算法在多传感器数据融合中的有效性、准确度和实时性。
The validity, accuracy and actual time of the algorithm for batched-estimation, self-adaptive weighting and variance-estimation are studied in multi-sensors data fusion.
本文对某些传感器出现通信故障的多传感器动态系统进行了研究，通过改进现有的系统框架，提出了一种新的融合估计算法。
Fault diagnosis process based on the Ontology was elaborated, and then the fault knowledge expression and the fault diagnosis algorithm based on the Ontology were put forward.
本文对某些传感器出现通信故障的多传感器动态系统进行了研究，通过改进现有的系统框架，提出了一种新的融合估计算法。
Fault diagnosis process based on the Ontology was elaborated, and then the fault knowledge expression and the fault diagnosis algorithm based on the Ontology were put forward.
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