基于卡尔曼滤波的极限学习机在线盲均衡算法

针对正交振幅调制(quadrature amplitude modulation,QAM)信号,在预测方法的盲均衡框架下,基于卡尔曼滤波(Kalman filter,KF)提出了一种新的神经网络在线盲均衡算法.采用复数型极限学习机(complex extreme learning machine,C-ELM)作为非线性...

Online blind equalization algorithm using extreme learning machine based on Kalman filter

For quadrature amplitude modulation(QAM)signals,a new neural network online blind equalization algorithm based on the Kalman filter(KF)is proposed under the blind equalization framework of the prediction method.For the purpose of minimizing the prediction error,this paper adopts the complex extreme learning machine(C-ELM)as the nonlinear prediction filter(PF)and sequentially updates the output weights of C-ELM using the KF.The amplitude of the signal is then adjusted by an automatic gain control device,and finally the phase rotation problem is corrected through a phase tuning factor.Simulation results show that the proposed algorithm achieves a good real-time equalization effect and has a faster convergence speed and lower steady mean square error.Moreover,the algorithm is suitable for blind equalization of the square,as well as the cross QAM signals.