
教授 博士生导师 硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
学科:信号与信息处理
生物医学工程
办公地点:大连理工大学创新园大厦
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发布时间:2019-03-11
论文类型:会议论文
发表时间:2010-01-01
收录刊物:Scopus
卷号:7
页面范围:3295-3299
摘要:In some communication systems the transmitted signal is contaminated by impulsive noise with a non-Gaussian distribution. Non-Gaussian noise caused significant performance degradation to communication receivers. The new constant modulus blind equalizer based on fractional lower-order statistics of the equalizer input, referred to as FLOS-CMA, is able to mitigate impulsive channel noise while restoring the constant modulus character of the transmitted communication signal. However, like the constant modulus algorithm (CMA), the steady-state mean square error of the FLOS-CMA algorithm may not be sufficiently low for the system to obtain adequate performance. This paper proposes a concurrent equalizer, in which a decision-directed Least Mean p Norm (DD-LMP) equalizer operates cooperatively with a FLOS-CMA equalizer, controlled through a nonlinear link. Simulation results using M-QAM signaling have shown that the concurrent FLOS-CMA and DD-LMP blind equalizer achieves a dramatic improvement in equalization performance over the FLOS-CMA approach. ?2010 IEEE.