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THE PARALLEL RECURSIVE AP ADAPTIVE ALGORITHM BASED ON VOLTERRA SERIES
作者姓名:孔祥玉  魏瑞轩  韩崇昭
作者单位:School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China
基金项目:This paper was supported by the National Key Fundamental Research &Development Program of China (No. 2001CB309403), and the National Natural Science Foundation of China (No. 60304004).
摘    要:Aiming at the nonlinear system identification problem, a parallel recursive affine projection (AP) adaptive algorithm for the nonlinear system based on Volterra series is presented in this paper. The algorithm identifies in parallel the Volterra kernel of each order, recursively estimate the inverse of the autocorrelation matrix for the Volterra input of each order, and remarkably improve the convergence speed of the identification process compared with the NLMS and conventional AP adaptive algorithm based on Volterra ,series. Simulation results indicate that the proposed method in this paper is efficient.

关 键 词:非线性系统  实用性  滤波技术  AP  运算法则
文章编号:1671-8267(2005)02-0097-04

THE PARALLEL RECURSIVE AP ADAPTIVE ALGORITHM BASED ON VOLTERRA SERIES
Kong Xiangyu,Wei Ruixuan,Han Chongzhao.THE PARALLEL RECURSIVE AP ADAPTIVE ALGORITHM BASED ON VOLTERRA SERIES[J].Academic Journal of Xi’an Jiaotong University,2005,17(2):97-100.
Authors:Kong Xiangyu  Wei Ruixuan  Han Chongzhao
Abstract:Aiming at the nonlinear system identification problem, a parallel recursive affine projection (AP) adaptive algorithm for the nonlinear system based on Volterra series is presented in this paper. The algorithm identifies in parallel the Volterra kernel of each order, recursively estimate the inverse of the autocorrelation matrix for the Volterra input of each order, and remarkably improve the convergence speed of the identification process compared with the NLMS and conventional AP adaptive algorithm based on Volterra series. Simulation results indicate that the proposed method in this paper is efficient.
Keywords:nonlinear system  Volterra series  adaptive identification  AP algorithm
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