Optimal recursive state estimation with quantized measurements

Sviestins E.; Wigren T.

首页> 外文期刊>IEEE Transactions on Automatic Control >Optimal recursive state estimation with quantized measurements

【24h】

Optimal recursive state estimation with quantized measurements

机译：具有量化测量的最优递归状态估计

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

A set of exact nonlinear filters is derived and analyzed. The filters perform recursive state estimation when only coarsely quantized output signals are available. A system with the dynamics given by n integrators, together with a uniform prior on the state vector, form the model assumptions. In the case with one integrator, properties of the quantizer allows the construction of an exact recursive algorithm for the updating of the probability density function (p.d.f.), using only the corners of a convex polygon defining the region where the p.d.f. is nonzero. It is also shown how to generalize the algorithm to handle multiple measurements quantized with vector quantizers

机译：导出并分析了一组精确的非线性滤波器。当仅粗略量化的输出信号可用时，滤波器执行递归状态估计。一个由n个积分器给定的动力学以及状态向量上统一先验的系统构成模型假设。在具有一个积分器的情况下，量化器的属性允许构造精确的递归算法，以更新概率密度函数（p.d.f.），仅使用凸多边形的角来定义p.d.f所在的区域。不为零。还显示了如何概括算法以处理使用矢量量化器量化的多个测量

著录项

来源
《IEEE Transactions on Automatic Control》 |2000年第4期|p.762-767|共6页
作者
Sviestins E.; Wigren T.;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类自动化系统;
关键词
filtering theory; nonlinear filters; optimisation; recursive estimation; state estimation; vector quantisation; VQ; coarsely quantized output signals; convex polygon; exact nonlinear filters; exact recursive algorithm; multiple measurements; optimal recursive state;

机译：滤波理论;非线性滤波器;优化;递归估计;状态估计;矢量量化;VQ;粗量化输出信号;凸多边形;精确非线性滤波器;精确递归算法;多次测量;最优递归状态;

相似文献

外文文献
中文文献
专利

1. Optimal recursive state estimation with quantized measurements [J] . Sviestins E., Wigren T. IEEE Transactions on Automatic Control . 2000,第4期

机译：具有量化测量的最优递归状态估计
2. Variance-Constrained Recursive State Estimation for Time-Varying Complex Networks With Quantized Measurements and Uncertain Inner Coupling [J] . Hu Jun, Wang Zidong, Liu Guo-Ping, Neural Networks and Learning Systems, IEEE Transactions on . 2020,第6期

机译：具有量化测量和不确定内耦合的时变复合网络的变差约束递归状态估计
3. Optimal recursive estimation for networked stochastic uncertain systems with fading measurements and time-correlated channel noises [J] . Wang Xin, Sun Shuli Journal of Computational and Applied Mathematics . 2019,第期

机译：具有衰落测量和时间相关信道噪声的网络随机不确定系统的最佳递归估计
4. Recursive estimation with quantized and censored measurements [C] . Bethany Allik, Michael J. Piovoso, Ryan Zurakowski American Control Conference . 2016

机译：具有量化和删失度量的递归估计
5. Optimum Quantization and Reconstruction of Power Flows from Voltage Measurements at Dispersed Buses. [D] . Ke, Xinda. 2013

机译：通过分散总线上的电压测量对功率流进行最佳量化和重构。
6. Optimal Quantization Scheme for Data-Efficient Target Tracking via UWSNs Using Quantized Measurements [O] . Senlin Zhang, Huayan Chen, Meiqin Liu, 2017

机译：通过UWSN使用量化测量进行数据有效目标跟踪的最佳量化方案
7. The Kalman Like Particle Filter : Optimal Estimation With Quantized Innovations/Measurements [O] . Sukhavasi, Ravi Teja, Hassibi, Babak 2011

机译：卡尔曼样粒子滤波：具有量化的最优估计创新/测量
8. On the Statistical Optimum Design of a Quantized Coefficient Recursive Digital Filter [R] . Yao, K., Yan, T. Y. 1980

机译：量化系数递归数字滤波器的统计优化设计

Optimal recursive state estimation with quantized measurements

摘要

著录项

相似文献

相关主题

期刊订阅