TY - GEN
T1 - Multi-criteria quadratic programming based low complexity nonlinear channel equalisation
AU - Musbah, Mohamed
AU - Zhu, Xu
PY - 2009
Y1 - 2009
N2 - We propose a low complexity multi-criteria quadratic programming (MCQP) based approach for nonlinear channel equalisation in wireless communications viewed as a classification problem. Compared to the standard SVM method, the proposed MCQP approach not only provides a better performance by introducing additional criteria to the objective function, but also requires a much lower complexity by solving a set of linear equations. Besides, the MCQP based equaliser achieves nearly the same performance as the optimal Bayesian detector. Furthermore, MCQP demonstrates its effectiveness in tracking the time variation of communication channels.
AB - We propose a low complexity multi-criteria quadratic programming (MCQP) based approach for nonlinear channel equalisation in wireless communications viewed as a classification problem. Compared to the standard SVM method, the proposed MCQP approach not only provides a better performance by introducing additional criteria to the objective function, but also requires a much lower complexity by solving a set of linear equations. Besides, the MCQP based equaliser achieves nearly the same performance as the optimal Bayesian detector. Furthermore, MCQP demonstrates its effectiveness in tracking the time variation of communication channels.
UR - https://www.scopus.com/pages/publications/84863740922
M3 - 会议稿件
AN - SCOPUS:84863740922
T3 - European Signal Processing Conference
SP - 328
EP - 332
BT - EUSIPCO 2009 - 17th European Signal Processing Conference
PB - European Signal Processing Conference, EUSIPCO
T2 - 17th European Signal Processing Conference, EUSIPCO 2009
Y2 - 24 August 2009 through 28 August 2009
ER -