1) weighted measurement fusion
加权观测融合
1.
For the multisensor systems, using the weighted least squares (WLS) method, a weighted measurement fusion equation and a equivalent weighted measurement fusion system are obtained.
对于多传感器系统，应用加权最小二乘(WLS)法得到一个加权观测融合方程和一个等价的加权观测融合系统。
2.
For the multisensor system with unknown noise statistics, and with the measurement matrices having the same factor, based on the weighted least squares(WLS) method, a weighted fusion measurement equation is obtained, and it together with the state equation to constitute a equivalent weighted measurement fusion system.
应用加权最小二乘(WLS)法可得到一个加权融合观测方程,且它与状态方程构成一个等价的加权观测融合系统。
3.
In the process of information fusion,when the colored observation noises are models,observation-expand filter can eliminate the influence of colored observation noises and the optimal weighted measurement fusion formula is obtained then the optimal results are accounted.
信息融合技术中,在各局部传感器的有色观测噪声为一阶AR模型的情况下,可以利用观测扩增方法消除有色噪声的影响,得到最优加权观测融合方程,从而实现状态的最优滤波解。
3) measurement weighted fusion
测量值加权融合
1.
Traditional measurement weighted fusion(TMWF) has its limitation for it requires equal dimensional measurement,while different subsystems in the integrated navigation system provide different dimensional measurements.
但由于船舶组合导航系统中各子系统通常提供的是不等同维的测量数据,加之传统测量值加权融合存在各传感器测量等同维数的约束,使得该类算法在船舶组合导航中的应用能力和使用范围受到了很大的限制。
4) predict weighted fusion
预测加权融合
1.
Aiming at above questions this paper combined the predict estimate with the technology of sequential weighted fusion at the basis of the existing research,accordingly a new multisensor predict weighted fusion method which could adapt to network-delay was proposed.
针对上述问题,在现有工作基础上,结合预测估计以及顺序加权融合技术,设计出了一种新的能适应网络时延的多传感器预测加权融合算法。
5) weighted fusion
加权融合
1.
Real-time Outliers Detection in Multi-Source Trajectory Data Based on Weighted Fusion;
基于加权融合的多信源弹道数据实时野值检测方法
2.
By combining the hardware redundant technique with weighted fusion algorithm and gray forecast model,a mining robot transducer fault-tolerant system based on mixed redundancy is constructed,with abilities of sensor fault detection,fault isolation and tolerance,and it ensures that the sensor s output is always valid when sensor s faults are not happened simultaneously.
针对深海环境的特殊性,对集矿机传感器容错方法进行了研究;利用双传感器冗余策略,同时把加权融合算法和灰色预测模型结合起来,构建一个基于混合冗余的传感器容错系统,用于集矿机传感器故障的检测、分离和容错,保证了集矿机双传感器在不同时发生故障的情况下系统输出始终有效;仿真结果验证了这一方法的可行性。
3.
As different properties are reflected by the dynamic model and static-state model, one multi-model weighted fusion method which is used to estimate the torque is proposed in this paper.
然后利用两模型分别计算转矩,由于动态模型和静态模型是从不同的方面反映电机特性,本文提出了对动态模型和静态模型加权融合估计转矩的方法,利用Simulink搭建电机模型,进行了仿真分析,验证了模型融合方法的有效性。
6) measurement fusion
观测融合
1.
Currently there exist two commonly used measurement fusion methods for kalman-filter-based multi-sensor data fusion.
目前有两种基于K a lm an滤波的多传感器观测融合方法,方法1是将观测向量的维数增加,获得扩展观测向量。
2.
For the multisensor systems with correlated measurement noises and different measurement matrices,two correlated measurement fusion steady-state Kalman filtering algorithms are presented by using the weighted least squares (WLS)method.
对于带相关观测噪声和带不同观测阵的多传感器系统,用加权最小二乘(Weighted least squares,WLS)法提出了两种相关观测融合稳态Kalman滤波算法。
3.
Based on Kalman filtering algorithm and by using the weighted least squares(WLS) measurement fusion method,that the datum measured by multisensors are weighted optimally is put forward,then the fused datum are filtered and brought back to the input endian,so that the accuracy of PID controlling is improved.
本文基于Kalman滤波算法,应用加权最小二乘(WLS)观测融合方法,提出了对多个传感器所检测的数据进行最优加权,进而将融合后的数据经滤波后反馈到输入端,提高PID控制精度,一个三传感器信息融合PID控制器的仿真例子说明了该方法的有效性。
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