以里程计作为外部传感器，建立了运动状态下初始对准的数学模型，分析了系统状态的可观测性，并进行了仿真研究。
By selecting an odometer as the system's external sensor, the mathematical model for the alignment in the moving state is established and the observability of the system is analyzed.
提出了一种新的基于降阶网络雅可比矩阵的电力系统状态估计可观测性分析方法。
A new observability analysis algorithm for power system state estimation based on reduced network Jacobian matrix is proposed.
电力系统状态估计的内容包括：网络拓扑分析、网络可观测性分析、状态估计、状态估计潮流、不良数据检测和辨识等。
The power system state estimation involves network topology, network observability analysis, state estimation and detection and identification of bad data.
介绍了基于动态系统可观测性矩阵奇异值分解的状态变量可观测度的分析方法。
The method of analyzing the observable degree of the state variable has been introduced by means of the singular value decomposition (SVD) of the observable matrix of a dynamic system.
采取这一方法可以得到“唯一确定”的系统最大可观测岛，从而为分布式状态计算中的系统可观测性分析提供了可能。
The presented method can be used to determine the maximum observable island, which is useful for the distributed state estimation of distribution system.
该算法为了减小距离的不可观测性对于非线性滤波的影响，在假设的多段距离间隔中采用并行的高斯-厄密特滤波并加权获得目标的状态估计。
In order to decrease the influence of non-observability of distance, based on Gauss-Hermite filter, multihypothesis of distance is adopted to operate collateral filter.
该算法为了减小距离的不可观测性对于非线性滤波的影响，在假设的多段距离间隔中采用并行的高斯-厄密特滤波并加权获得目标的状态估计。
In order to decrease the influence of non-observability of distance, based on Gauss-Hermite filter, multihypothesis of distance is adopted to operate collateral filter.
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