SOS-based blind equalization algorithm of FIR MIMO system in frequency domain

被引：0

作者：

Shen, Xizhong ^{[1
,2
]}

Hu, Dachao ^{[2
]}

Meng, Guang ^{[1
]}

Wang, Tao ^{[2
]}

机构：

[1] Shanghai Jiao Tong Univ, Natl Key Lab Vibrat Shock & Noise, Shanghai 200030, Peoples R China

[2] Shanghai Inst Technol, Sch Mech & Automat Engn, Shanghai 200235, Peoples R China

来源：

2006 IEEE SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP PROCEEDINGS, VOLS 1 AND 2 | 2006年

关键词：

blind equalization; cost function; nature gradient; learning rate;

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：

Blind equalization of finite impulse response multi-input multi-output system is an important task for numerous applications such as speech separation, dereverberation, communication, signal processing and control, etc. A cost function is constructed based on second order statistics of equalizer output, and a new algorithm is derived with natural gradient. The algorithm is adapted to non-stationary signals, and the learning rate is multiplied by a constraint factor, which is adjusted adaptively. Simulations indicate the ability of the algorithm to perform blind equalization under the weaker condition (the system is equalizable).

引用

页码：263 / +

页数：2

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