EM-EKF-based Parameters Estimation for Time-variant MIMO Channel

来源 :第26届中国过程控制会议 | 被引量 : 0次 | 上传用户：mkunaini520

【摘要】

：

【作者】

：

Yu Jiangnan Wang Yuhao Deng Sheng Zhou Huilin Kong Bo

【机构】

：

School of Information Engineering,Nanchang University,330031,China

【出处】

：

第26届中国过程控制会议

【发表日期】

：

2015年10期

【关键词】

：

Cognitive radio EM-EKF MIMO estimate

下载到本地 , 更方便阅读

下载此文赞助VIP

声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架

论文部分内容阅读

　　Cognitive radio(CR)needs to aware the surroundings and adapts the transmission parameters to the environment.One key problem of CRis to understand the multi-dimension and multi-scale characteristics of the dynamic multiple-input multiple-output(MIMO)channel from the observations.In this paper,the formula of EM method in the frequency domain is derived and then based on the improved EM method the Expectation Maximization-Extended Kalman Filter(EM-EKF)isproposedfor estimation and tracking of the propagation path parameters in the time-varying MIMO channel.This papersimulates a macro cell scenariogenerated with the IlmProp.The simulation resultsshow that the proposed algorithm can sequentially estimate and track the parameters.

其他文献

Control Performance Assessment for a Class of Switched Systems

In this paper,controller performance assessment is considered for a class of switched linear systems.The tensor-based method is proposed for the controller performance assessment for this systems evol

会议

Controller performance assessmentSwitched systemsCovariance tensorHigher-orde

Data Mining Applications for Finding Golden Batch Benchmarks and Optimizing Batch Process Control

This article discusses MPCA(Multi-way Principal Component Analysis)and MPLS(Multi-way Partial Least Squares)have been used to compress the information into low-dimensional spaces and pinpoint the root

会议

Golden BenchmarksBatch Process ModellingModel-based ControlBatch Process Impr

Delta算子时滞不确定系统的非线性滑模控制

研究了一类δ算子系统的滑模控制问题。首先，研究了带有时滞的δ算子不确定系统，并引入一种能够动态改善系统运动品质的非线性滑模面，利用线性矩阵不等式技术，得出了滑模面存在的充分条件，并给出具体设计方法。其次，基于一种改进的自适应趋近律，设计了相应的滑模控制器，保证系统状态能够在有限时间内到达滑模面，从而将此类非线性系统的滑模控制的设计推广到了现代高速采样条件下的时滞不确定非线性系统。最后，通过一个仿真

会议

δ算子非线性控制滑模控制线性矩阵不等式时滞系统

Design of Constrained Predictive Control System for 4-DOF Manipulator with Flexible Beam Frame

This paper focuses on a 4-DOF manipulator with flexible beam frame.Due to the performance requirements of rapidity and stability,the model predictive control algorithm is adopted to make trajectory pl

会议

ManipulatorFlexible BeamModel Predictive ControlAnti-shakeTrajectory Plannin

Detection of Process Dynamics Changes and Quantification of Process Nonlinearity Using Sum-of-Norms

In the process industries,local linearization of a nonlinear process,which is essentially modeling of the process dynamics at a specific operating point with a simplified linear model,is commonly used

会议

Process dynamicsChange detectionNonlinearity quantificationSum-of-norms regul

Development of NARX-DNN Model for Coal-fired Boiler Using Real Plant Data

In this paper,a deep learning model referred as NARX-DNN based on Deep Neural Network(DNN)and Nonlinear Auto Regressive with Extension X input(NARX)neural network is developed to model the coal-fired

会议

Deep LearningCoal-fired BoilerStacked De-noising Auto-Encoders

Distributed predictive control method based on neighborhood optimization for high-speed electric mul

This paper proposes a new predictive control scheme for the high-speed electric multiple unit(EMU),by establishing multiple distributed state-space model for each power unit based on the subspace mode

会议

High-speed electric multiple unitPower unitNeighborhood optimizationDistribut

Direct Fuzzy Adaptive Inverse Control Based on Particle Swarm Optimization Algorithm

T-S fuzzy inverse model identification based on particle swarm optimization(PSO)algorithm is proposed for a class of nonlinear process,and it is applied to direct adaptive inverse control of nonlinear

会议

particle swarm optimizationT-S fuzzy inverse modeladaptive inverse controlvar

Disturbance-observer-based Control for Discrete-Time Markovian Jump Systems with Missing Measurement

This paper addresses the problem of disturbance attenuation and rejection for discrete-time Markovian jump systems with lossy measurements and multiple disturbances.The measurement transmission from t

会议

Disturbance attenuation and rejectionmultiple disturbancescomposite controldy

Dual-layer selective ensemble modeling approach based on mechanical vibration and acoustic signals a

Frequency spectral features of mechanical vibration and acoustic signals relate to difficult-to-measure product quality and quantity parameters of complex industrial process.Selective ensemble(SEN)mod

会议

Mechanical vibration and acoustic signalsFrequency spectrumDual-layer selectiv

EM-EKF-based Parameters Estimation for Time-variant MIMO Channel

其他学术论文