Chaotic communications with multiuser based on unscented Kalman filter
基于UKF的多用户混沌通信

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.