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 |
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代理人 |
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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 |