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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 Kalmanfilter,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.
In order to overcome the influence of channel noise, mismatch of system parameters and multi-user interference on chaotic communication system, this paper presents a dual unscented Kalman filter (DUKF) combining different state-space models and blind extraction algorithm ) To realize multi-user chaotic communication.The simulation results show that the proposed algorithm has a faster convergence speed and can effectively implement multi-user chaotic communication in the multi-user communication environment with multiple-input and multiple-output channels.