A Set-Membership-Based Blind Equalization Algorithm for High-order QAM Signals

摘要：

This paper presents a new blind equalization algorithm based on the concept of set-membership filtering (SMF). We first employ a new strategy in the stop-and-go algorithm (SGA) to improve the update reliability by substituting the Sato-like error with multimodulus error and involving a penalty function. Then an adaptive algorithm is derived in terms of the SGA and the set-membership binormalized data-reusing LMS algorithm. During the coefficients update, the proposed algorithm uses two constraint sets to construct reliable solution space. Simulation results demonstrate that compared with other algorithms including SGA, the proposed algorithm provides superior performance with regard to both the convergence rate and the steady-state mean square error (MSE), and is comparatively efficient for high-order QAM signals.

作者: Xiaodong Xu Xuchu Dai

作者单位: Dept. of Electronic Engineering and Information Science University of Science and Technology of China Hefei, China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 307-310

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）