通过加权最小二乘估计来有效地利用系统的冗余信息。
It also makes use of systems redundant information effectively by weighted least squares estimators.
模拟结果表明加权最小二乘估计比最小二乘估计有优良的性质。
Simulation results show that the weighted least squares estimate has better properties than the least squares estimate.
给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
线性无偏最小方差估计与最优加权最小二乘估计是线性模型下两种最常用的估计方法。
The linear unbiased minimum variance estimate and the optimally weighted least squares estimate are two of the most popular estimation methods for a linear model.
在给定的线性模型下，讨论了最优加权最小二乘估计与线性无偏最小方差估计性能比较。
The discussion on the property comparison between optimally weighted LS estimate and linear unbiased minimum variance estimate for a linear model is presented.
主要考虑了同方差型的半参数线性回归模型中参数的随机加权最小二乘估计（RWLSE）。
The randomly weighted least square estimator (RWLSE) for the parametric component in semi-parametric regression models was mainly discussed.
介绍了如何将加权最小二乘估计应用于节点定位以及如何合理地选择加权系数以降低定位误差。
How to apply WLSE to node localization algorithm and choose proper weight coefficient to reduce location error are introduced.
在这种情况下，最优加权最小二乘估计变成关于观测和输入的非线性估计，且与线性最小方差估计不可比。
In this case optimally weighted LS estimate is not a linear estimate of a parameter given input and observation anymore and can not be compared with linear minimum variance estimate.
本文给出了基于极径法球面测量的加权最小二乘估计模型，并依据该模型进行测量采样点布局的优化设计。
This article suggests a model for weighted least squares estimate for spherical surface measurement with polar radius method.
本文给出了基于极径法球面测量的加权最小二乘估计模型，并依据该模型进行测量采样点布局的优化设计。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
在信号处理、控制和通讯等技术领域，常常使用线性最小方差估计和最优加权最小二乘估计对参数作出估计。
Linear minimum variance estimate and optimally weighted LS estimate are often used in many fields such as signal processing, control and communications.
本文通过将双基地声呐中发射和接收站的测量数据进行融合处理，提出了基于加权最小二乘估计（WLS）的双基地声呐定位优化算法，给出了算法的原理和误差分布。
Weighted least squares (WLS) localization algorithm for bistatic sonar was proposed by fusing the data of transmitter and receiver. The localization principle and error of the algorithm were given.
通常的参数估计方法如加权最小二乘，只能给出浮点解，包括模糊度向量也只是实数解。
Through standard parameter estimation like weighted least squares only the "floating solution" - including the vector of ambiguity-can be given.
列出了对位置偏差估计的状态方程和测量方程，用加权的最小二乘估计和卡尔曼滤波算法，实现了定位和跟踪。
The state equation and detecting equation of the position error of moving target are built, the location and track to moving target is achieved by least-square estimation and Kalman filter algorithm.
电力系统加权最小二乘准则的状态估计，通常采用正规方程法。
Power system state estimation is usually formulated as a weighted least-squares problem and is solved iteratively by the normal equation method.
提出了一种利用基于距离参数的最小二乘滤波器群的纯方位跟踪目标参数估计器，该估计器是由若干个处地不同的距离区间上的加权最小二乘滤波器组成。
In this paper, a new bearings only tracking approach, which consists of a set of weighted least squares filters (LSF) each with a different initial range estimate, is proposed.
提出了一种利用基于距离参数的最小二乘滤波器群的纯方位跟踪目标参数估计器，该估计器是由若干个处地不同的距离区间上的加权最小二乘滤波器组成。
In this paper, a new bearings only tracking approach, which consists of a set of weighted least squares filters (LSF) each with a different initial range estimate, is proposed.
应用推荐