期刊
IEEE TRANSACTIONS ON BROADCASTING
卷 58, 期 2, 页码 168-177出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBC.2012.2189338
关键词
Back propagation; communications; feedforward neural network; modulator imperfections; signal processing; transmitter linearization
资金
- Alberta Informatics Circle of Research Excellence (iCORE)
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- Canada Research Chairs (CRC) Program
- TRLabs
- iRadio Lab
This paper presents a one-step solution for transmitter nonlinearity estimation and linearization control in the presence of I/Q modulator imperfections for wideband direct-conversion transmitters. These transmitters include power amplifierswith frequency-dependent nonlinearities and modulator imperfections. With the proposed two-hidden-layer feedforward neural network, traditional two-step characterization and specially designed training signals are not required in the parameter estimation stage; and, estimation can be done without interrupting the operation of the transmitter. The measurement results and comparisons of the proposed neural network with the existing state-of-the-art methods show the superior performance in the presence of extreme RF impairments.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据