MIMO Instantaneous Blind Identification Based on Second-Order Temporal Structure and Newton's Method

被引：0

作者：

Shen, Xizhong ^{[1
,2
]}

Meng, Guang ^{[2
]}

机构：

[1] Shanghai Inst Technol, Mech & Elect Dept, Shanghai 200235, Peoples R China

[2] Shanghai Jiao Tong Univ, State Key Lab Mech Syst &Vibrat, Shanghai, Peoples R China

来源：

ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PROCEEDINGS | 2009年 / 5855卷

基金：

美国国家科学基金会;

关键词：

instantaneous blind identification; homogeneous system; second order temporal statistics; Newton's method; nonlinear; EQUALIZATION ALGORITHM; SYSTEM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a new MIMO instantaneous blind identification algorithm based on second order temporal property and Newton's Method. Second order temporal structure is reformulated in a particular way such that each column of the unknown mixing matrix satisfies a system of nonlinear multivariate homogeneous polynomial equations. The nonlinear system is solved by Newton's method for the equations. Our algorithm allows estimating the mixing matrix for scenarios with 4 sources and 3 sensors, etc. Simulations and comparisons show its effective with more accurate solutions than the algorithm with homotopy method.

引用

页码：497 / +

页数：3

共 7 条

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