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基于累积量的多输入多输出系统逆滤波准则算法的改进
引用本文:沈希忠,史习智. 基于累积量的多输入多输出系统逆滤波准则算法的改进[J]. 上海交通大学学报, 2004, 38(9): 1587-1589,1592
作者姓名:沈希忠  史习智
作者单位:上海交通大学,振动、冲击、噪声国家重点实验室,上海,200030;上海应用技术学院,机电学院,上海,200235;上海交通大学,振动、冲击、噪声国家重点实验室,上海,200030
基金项目:国家自然科学基金资助项目(60372075),上海市教委资助项目(03YQHB160)
摘    要:基于累积量的逆滤波准则已经被广泛地应用于多输入多输出时不变系统的盲解卷积,本文对该算法进行改进,在算法中利用待抽取源信号和已抽取源信号之间的高阶累积量,构造新的目标函数,迭代抽取源信号,以便在多级运算中获得较快的收敛性.仿真结果表明,该算法具有一定的鲁棒性.

关 键 词:信号处理  累积量  逆滤波准则  多级盲均衡算法
文章编号:1006-2467(2004)09-1587-03

Improvement of Cumulant-Based Inverse Filter Criteria for MIMO System
SHEN Xi-zhong. Improvement of Cumulant-Based Inverse Filter Criteria for MIMO System[J]. Journal of Shanghai Jiaotong University, 2004, 38(9): 1587-1589,1592
Authors:SHEN Xi-zhong
Affiliation:SHEN Xi-zhong~
Abstract:Cumulant-based inverse filter criteria have been widely used for blind deconvolution of discrete-time multi-input multi-output linear time-invariant systems through a multistage successive cancellation(MSC) procedure. In this paper, an improvement on the algorithm was proposed to extract non-Gaussian signals one by one, not with MSC, but with high-order cumulant of extracting and extracted signals, characterized with fast convergence. Some simulation results were presented to support the proposed method with robustness.
Keywords:signal processing  cumulant  inverse filter criteria  multistage blind equalization algorithm
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