发明名称 SYSTEM AND METHOD FOR FAST POLYNOMIAL PRE-DISTORTION
摘要 A system and method for method of pre-distorting a signal applied to a power amplifier to compensate for distortion introduced by the power amplifier at different power settings, comprising pre-distorting the signal according to a pre-distortion polynomial, prior to amplification of the signal by the power amplifier; adaptively estimating and applying pre-distortion polynomial coefficients to the pre-distorter by saving successive iterations of adaptive estimation of the pre-distortion polynomial coefficients; and regularizing estimation of the pre-distortion polynomial coefficients over successive iterations according to a modified objective function that initially constrains growth in the magnitude of the pre-distortion polynomial coefficients and then relaxes the constraint in growth over successive iterations until estimation is reduced to a steady-state least squares estimation.
申请公布号 US2015054579(A1) 申请公布日期 2015.02.26
申请号 US201313973397 申请日期 2013.08.22
申请人 BlackBerry Limited 发明人 OMER Mohammad;KRAVETS Oleksiy;DEVISON Stephen Arnold
分类号 H03F1/32 主分类号 H03F1/32
代理机构 代理人
主权项 1. A system for pre-distorting a signal applied to a power amplifier to compensate for distortion introduced by the power amplifier at different power settings, comprising: a pre-distorter for pre-distorting the signal according to a pre-distortion polynomial, prior to amplification of the signal by the power amplifier; an adaptive estimator for adaptively estimating and applying pre-distortion polynomial coefficients to the pre-distorter, wherein the adaptive estimator includes a first estimation loop for saving successive iterations of the adaptive estimator; anda second estimation loop including an estimation regularizer for regularizing estimation of the pre-distortion polynomial coefficients over successive iterations according to a modified objective function that initially constrains growth in the magnitude of the pre-distortion polynomial coefficients and then relaxes the constraint in growth over successive iterations until estimation is reduced to a steady-state least squares estimation.
地址 Waterloo CA