Fractionally Spaced Mixed Blind Equalization Algorithm Based on Orthogonal Wavelet Transform

摘要：

Aiming at huge computation of super-exponential iteration (SEI) algorithm, meanwhile the severe inter-symbol interference (ISI) caused by multi-path fading, in the fractionally spaced blind equalization algorithm which based on super exponential iteration algorithm, fractionally spaced mixed blind equalization algorithm which based on orthogonal wavelet transform (FWSW) is proposed. The proposed algorithm uses the fast convergence speed characteristic of SEI algorithm to revise the iteration equation of feedforward weight vectors for decision feedback structure blind equalizer, uses the decorrelation ability of wavelet transform to improve the convergence rate, and the computation complexity can be reduced by rarefing the feedforward weight vectors, then uses the phaselocked loop (PLL) to correct phase rotation. The simulation results show that the proposed algorithm has fast convergence rate, low ISI and computational complexity, and can correct the channel introduced carrier phase rotation.

关键词： blind equalization orthogonal wavelet transform fractionally spaced decision feedback

作者: Guo Fu-dong Guo Ye-cai Ding Xue-jie

作者单位: College of Eleetrie & Information Engineering Nanjing University of Information Science & Technology, Nanjing, China

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 22-25

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）