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基于L_(2)灵敏度最小化的数字滤波器状态空间实现稀疏化方法

A Sparse Algorithm of Digital Filter State Space Realization Based on L_(2)-Sensitivity Minimization
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摘要 为解决传统数字滤波器在有限精度实现时因有限字长(Finite Word Length,FWL)效应导致滤波器性能下降的问题,提出一种L_(2)灵敏度最小化的数字滤波器状态空间实现稀疏化方法.推导前向差分算子数字滤波器结构传输函数及其等效状态空间实现,根据可控及可观格莱姆矩阵得到基于相似变换矩阵的L_(2)灵敏度表达式,并进行稀疏化校准,将L_(2)灵敏度最小化问题转换为凸函数求最值问题,求导得到L_(2)灵敏度最小化表达式,代回即得前向差分算子数字滤波器的稀疏化状态空间实现.仿真结果表明,所提方法设计的数字滤波器具有更好的抗FWL效应. In order to solve the problem of filter performance degradation caused by finite word length(FWL)effect when traditional digital filter is implemented in finite precision,a sparse algorithm of digital filter state space realization based on L_(2)-sensitivity minimization is proposed.A transmission function of a forward difference operator digital filter structure and an equivalent state space realization of that forward difference operator digital filter structure are deduce,an L_(2)-sensitivity expression based on a similar transformation matrix is obtained according to a controllable and observable Gram matrix,sparse calibration is carry out,an L_(2)-sensitivity minimization problem is converted into a convex function optimiza⁃tion problem,and derivation is carried out to obtain an L_(2)-sensitivity minimization expression.The sparse state space real⁃ization of the forward difference operator digital filter is obtained by substitution.The simulation results show that the digi⁃tal filter designed by the proposed method has better resistance to the FWL effect.
作者 庄陵 张文静 王光宇 ZHUANG Ling;ZHANG Wen-jing;WANG Guang-yu(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Engineering Research Center of Mobile Communications of the Ministry of Education,Chongqing 400065,China;Chongqing Key Laboratory of Mobile Communications Technology,Chongqing 400065,China)
出处 《电子学报》 EI CAS CSCD 北大核心 2024年第2期518-527,共10页 Acta Electronica Sinica
基金 中国电子科技集团公司第二十九研究所资助课题。
关键词 数字滤波器 有限字长效应 前向差分算子 矩阵稀疏化 L_(2)灵敏度 digital filter finite word length forward difference discretization sparse matrix L_(2)-sensitivity Foundation Item(s):Project Supported by the 29th Research Institute of CETC
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