QUASI-NEWTON MULTIMODULUS BLIND EQUALIZATION ALGORITHM

被引：0

作者：

Paracha, Kashif N. ^{[1
]}

Zerguine, Azzedine ^{[2
]}

机构：

[1] Univ Faisalabad, Dept Elect Engn, Faisalabad, Pakistan

[2] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia

来源：

2009 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT 2009) | 2009年

关键词：

Blind equalization; Newton method; SNL-SCS-MMA-p; SELF-RECOVERING EQUALIZATION; SYSTEMS;

D O I：

10.1109/ISSPIT.2009.5407538

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this work, a new stochastic Newton-like algorithm for blind equalization is developed. This is obtained by applying a complex Taylor series on a recently proposed soft constraint satisfaction multi-modulus blind equalization algorithm of order p (SCS-MMA-p). The proposed algorithm is a generalized version of the SCS-MMA-p and is named as stochastic Newton-like soft constraint satisfaction multi-modulus algorithm of order p (SNL-SCS-MMA-p). Great improvement in performance of the proposed algorithm is obtained against that of the SCS-MMA for different values of p.

引用

页码：151 / +

页数：2

共 15 条

[1] Soft constraint satisfaction multimodulus blind equalization algorithms [J].