Open AccessChaotic communications with multiuser based on unscented Kalman filter
Author(s) -
Zhihui Hu,
Jun Feng
Publication year - 2011
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.60.070505
Subject(s) - kalman filter , computer science , chaotic , channel (broadcasting) , extended kalman filter , interference (communication) , convergence (economics) , noise (video) , control theory (sociology) , algorithm , multiuser detection , dual (grammatical number) , fast kalman filter , code division multiple access , telecommunications , artificial intelligence , art , control (management) , literature , economics , image (mathematics) , economic growth
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.