仿真结果表明基于协作的分布式估计算法的估计精度比Kalman估计算法更高，估计误差小于0。
Simulations indicate that distributed estimation based cooperation has higher estimation accuracy than the Kalman estimation algorithm with an estimation accuracy of less than 0.05.
论述了带反馈分布式信息融合系统中传感器观测维数不同时的状态估计方法。
The method of state estimation is discussed, when radars have different observation dimension in one distributed data fusion system with feedback.
在模型基础上系统地介绍了已有分布式目标参数估计方法，包括最大似然与最小二乘算法，DSPE和DISPARE算法等。
Systematically introduced parameter estimation of distributed sources on the base of models, including the maximum likelihood estimate, least squares estimator, DSPE, DISPARE, etc.
针对分布式数据流环境，提出基于核密度估计的分布数据流离群点检测算法。
This paper presents an algorithm for outlier detection in distributed data streams.
由于分布式MIMO系统中可能存在多个频偏，使得其频偏估计和补偿问题变得更为复杂。
Since there may exist multiple CFOs in distributed MIMO systems, the CFO estimation and compensation become more difficult for this case.
逐次正交化分布式卡尔曼滤波器是对大系统进行状态估计的一种新方法。
The Successive Orthogonalization Decentralized Kalman Filter (SODKF ) is a new method which is used for large system state estimation.
以高速率将输入数据路由到分布式的大量处理元件、存储器和连接以便在视场中的多个点处同时进行参数估计。
The input data is routed at high rates to a distributed and large number of processing elements, memory, and connections for simultaneous parameter estimation at multiple points in the field of view.
数字仿真表明，分布式联合、估计算法在各种性能指标上都优于单站跟踪算法。
The Monto Carlo simulation shows that the distributed fusion algorithm performs much better than the local estimation algorithm in every function index and achieves the expected effec…
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.
数字仿真表明，分布式联合、估计算法在各种性能指标上都优于单站跟踪算法。
The Monto Carlo simulation shows that the distributed fusion algorithm performs much better than the local estimation algorithm in every function index and achieves the expected…
提出了集中式最优加权融合方法估计分布式参数的数学模型，并进行了严格的公式推导。
A centralized optimal weighting fusion method to proc - essing distributed parameters is introduced. Formula deduction is available.
分布式算法通过其边界协调方程来修正边界节点估计值，从而保证了计算的精度。
The DSE method modified the results of the boundary buses by the coordinate function, thus it ensures the calculating precision generally.
针对现有元钱传感器网络节点定位方法成本和复杂度较高的问题，提出了一种利用离去角度估计的分布式节点定位方法。
A novel distributive localization method using the Angle of departure is proposed to reduce the cost and complexity of existing localization methods for wireless sensor networks.
比较了目前分布式视频系统的各种码率估计算法性能，并提出了改进的码率估计算法。
With a comparison on a few of rate estimation algorithms, an improved methods resided in the decoder is proposed in this paper.
在估计融合问题中，讨论了估计融合的中心式，分布式和混合融合结构；
In estimation fusion, three fusion architectures are considered: centralized, distributed, and hybrid.
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.
文中建立了这种情况下的分布式目标模型，提出了分布式目标的空间二维参数估计简化算法。
In our paper, it is presented a simplified distributed signal estimation method based on a special model, and computer simulations confirm the method presented.
针对相干信号源分布式目标，在具体的空间信号分布函数形式未知的情况下，提出了一种基于盲辨识的分布式目标波达方向（DOA）估计方法。
This paper proposes a blind identification approach to direction of arrival estimation of coherently distributed sources without knowing the accurate function forms of the angular signal density.
针对相干信号源分布式目标，在具体的空间信号分布函数形式未知的情况下，提出了一种基于盲辨识的分布式目标波达方向（DOA）估计方法。
This paper proposes a blind identification approach to direction of arrival estimation of coherently distributed sources without knowing the accurate function forms of the angular signal density.
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