This paper is to study the linear minimum variance estimation for discrete-time systems with instantaneous and two time delayed measurements.
本文研究具有即时观测和两个延迟观测系统的线性最小均方差估计。
In the sense of linear unbiased minimum variance estimation, a global optimal recursive state estimation algorithm for this discretized linear system is proposed.
在线性无偏最小方差估计准则下，推导出了该离散化后所得系统的全局最优递推状态估计算法。
The estimation of this class of the distributed group can be done by the unbiased estimation, uniformly minimum variance estimation and the optimal linear unbiased estimation.
这一类分布族的参数估计可用无偏估计，一致最小方差无偏估计和最优线性无偏估计。
Based on the linear unbiased minimum variance estimation theory, an asynchronous fusion algorithm that fused the state vector of linear system with arbitrary correlated noises is developed.
基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
Based on linear unbiased minimum variance estimation theory, a fusion algorithm which fused the state vector of nonlinear systems with dissimilar sensors with arbitrary correlated noises is developed.
基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
The lognormal kriging systems and logarithmic kriging variance are established after non-bias condition and minimum estimation variance are studied.
在分析了无偏条件及最小估计方差之后，给出了对数正态克立格法方程组及对数克立格方差。
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.
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 STMV (STeered Minimum Variance) is investigated to realize high resolution 1-d and 2-d DOA estimation for broadband correlated signal.
研究利用导向最小方差(stmv)法实现了宽带相干信号的一维和二维高分辨DOA估计。
The paper proposes a nonparameter data extrapolation method based on minimum variance spectrum estimation and minimum weighted norm constraint.
提出一种最小方差谱估计和最小加权范数约束结合的非参数类数据外推方法。
False Alarm Rate (CFAR) detector (FUCAP) based on Fuzzy logic, Unbiased Minimum-Variance Estimation (UMVE) and Cell Averaging (CA) is presented in this paper.
基于模糊逻辑，无偏最小方差估计(UMVE)和单元平均(CA)提出一种新的恒虚警检测器(FUCAP)。
WT5BZ]Discusses estimation of minimum value I form composite non-homogeneous Poisson process model, and obtains its structural reliability and minimum variance unbiased estimation.
性质：在系统模型辨识过程中，寻求使实际测量与计算值间的方差达到最小的参数作为参数的估计值的方法。
A new CFAR detector (UMVEM-CFAR) based on Unbiased Minimum-variance Estimation (UMVE) is presented in this paper.
基于无偏最小方差估计(UMVE)算法，提出了一种新的恒虚警检测器(UMVEM - CFAR)。
A new CFAR detector (UMVEM-CFAR) based on Unbiased Minimum-variance Estimation (UMVE) is presented in this paper.
基于无偏最小方差估计(UMVE)算法，提出了一种新的恒虚警检测器(UMVEM - CFAR)。
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