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
收藏
页码：263 / +
页数：2
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