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基于UKF的多用户混沌通信
引用本文:胡志辉,冯久超.基于UKF的多用户混沌通信[J].物理学报,2011,60(7):70505-070505.
作者姓名:胡志辉  冯久超
作者单位:华南理工大学电子与信息学院,广州 510641
基金项目:国家自然科学基金(批准号:60872123),国家-广东省自然科学基金联合基金(批准号:U0835001)和广东省高层次人才项目基金(批准号:N9101070)资助的课题.
摘    要:为克服信道噪声、系统参数误配及多用户干扰对混沌通信系统的影响,本文组合不同的状态空间模型并结合盲提取算法,提出了一种双无先导卡尔曼滤波器 (dual unscented Kalman filter, DUKF),以实现多用户的混沌通信.仿真结果表明,在多输入多输出信道的多用户通信环境下,该算法有较快的收敛速度,并能有效地实现多用户的混沌通信. 关键词: 混沌通信 多输入多输出 双无先导卡尔曼滤波器 盲提取

关 键 词:混沌通信  多输入多输出  双无先导卡尔曼滤波器  盲提取
收稿时间:9/6/2010 12:00:00 AM

Chaotic communications with multiuser based on unscented Kalman filter
Hu Zhi-Hui and Feng Jiu-Chao.Chaotic communications with multiuser based on unscented Kalman filter[J].Acta Physica Sinica,2011,60(7):70505-070505.
Authors:Hu Zhi-Hui and Feng Jiu-Chao
Institution:School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China;School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
Abstract:To reduce effectively channel noise, parameter mismatch, and inter-user interference, a dual unscented Kalman filter (DUFK) algorithm with combining blind extraction algorithm and different state space models for chaotic communication systems with multiuser is proposed. The simulation results indicate that the algorithm has a faster convergence speed and can realize effectively multiuser communications in a multi-input multi-output channel.
Keywords:chaotic communications  multi-input multi-output  dual unscented Kalman filter  blind extraction
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