Fast training of equalizers in discrete multi-tone

专利名称：Fast training of equalizers in discrete multi-tone (DMT) systems

发明人：Pessoa, Lucio申请号：EP001107.7申请日：20000517公开号：EP10538B1公开日：20070117

摘要：A method for fast training of equalizers in a DMT system begins by normalizingthe incoming receive signal (y) via steps (108-116). By normalizing the signal, theconvergence rate of the training algorithm becomes relatively independent of channelline length so that long line lengths may converge to optimal equalizer coefficients inshort time periods. The method also iteratively adjusts the filter coefficients w over timeby using an adaptive gain vector µ that is updated on a component-by-component basison each iteration via steps (114-146). By allowing each component of the vector µ toiteratively adapt independent of all other components in the vector µ based upon thebinary sign bit of both real and imaginary components of frequency domain gradientvectors G, a convergence to optimal equalizer filter coefficients will occur in a shortperiod of time.

申请人：FREESCALE SEMICONDUCTOR INC

地址：US

国籍：US

代理机构：Wharmby, Martin Angus

更多信息请下载全文后查看