Research on Recovery of Clipping and HPA Nonlinear Distortion Based on Compressive Sensing in OFDM Systems

被引：0
|
作者：
Yang L. [1 ,2 ]
Song K. [1 ]
机构：
[1] Key Laboratory of National Communication Technology, University of Electronic Science and Technology, Chengdu, 611731, Sichuan
[2] Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory, The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, 050081, Hebei
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2018年 / 46卷 / 05期
关键词：
Clipping; Compressive sensing (CS); Nonlinear distortion recovery; Orthogonal frequency division multiplexing (OFDM); Peak to average power ratio (PAPR);
D O I：
10.3969/j.issn.0372-2112.2018.05.008
中图分类号：
学科分类号：
摘要：
One of the main drawbacks in orthogonal frequency division multiplexing (OFDM) systems is high peak to average power ratio (PAPR) which reduces the efficiency of high power amplifier (HPA), and the nonlinear distortion caused by HPA will degrade the bite error rate (BER) of the system. The proposed scheme of this paper considers the nonlinear distortion caused by clipping and HPA as a whole, and models the whole nonlinear process utilizing the sparsity in time domain similar to the clipping noise. The PAPR of OFDM signal is reduced by clipping at the transmitter, and for the receiver, reliable observations contaminated by less channel noise are selected to minimize the influence of channel noise, and compressive sensing (CS) algorithm is applied to effectively recover the total nonlinear distortion signal with the parameters calculated from the nonlinear model, which can improve the BER performance of the system. © 2018, Chinese Institute of Electronics. All right reserved.
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页码：1078 / 1083
页数：5
相关论文
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