Research of compressed sensing for predistortion with relatively low sampling frequency

Xin HU; Jian-kang WANG; Fei LIU; Lian-jun OU; Jun LIANG; Gang WANG; Ji-run LUO

doi:10.11959/j.issn.1000-436x.2016221

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Research of compressed sensing for predistortion with relatively low sampling frequency

academic paper | 更新时间：2024-06-05

- Research of compressed sensing for predistortion with relatively low sampling frequency
- Journal on Communications Vol. 37, Issue 11, Pages: 74-79(2016)
- 作者机构：
  
  1. 中国运载火箭技术研究院研究发展中心，北京 100076
  2. 中国科学院电子学研究所，北京 100190
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-436x.2016221
  CLC： TN830.6
- Online First：2016-11，
  
  Published：25 November 2016
- 稿件说明：
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Xin HU, Jian-kang WANG, Fei LIU, et al. Research of compressed sensing for predistortion with relatively low sampling frequency[J]. Journal on Communications, 2016, 37(11): 74-79.
DOI：

Xin HU, Jian-kang WANG, Fei LIU, et al. Research of compressed sensing for predistortion with relatively low sampling frequency[J]. Journal on Communications, 2016, 37(11): 74-79. DOI： 10.11959/j.issn.1000-436x.2016221.

摘要

为解决欠采样行波管功率放大器（TWTA）预失真问题，一般工程上采用查找表结合间接学习结构数字预失真方法，但是系统复杂度在一定程度上会增加。针对这种工程问题，提出了一种基于压缩感知技术的欠采样预失真技术，在简化系统实现、提高工作稳定性的同时，可以获得较好的非线性失真优化效果。

Abstract

In order to improve the TWTA digital predistortion linearizer with relatively low sampling frequency

the LUT and indirect learning architecture were used

which was cumbersome. A digital predistortion linearizer with compressed sensing technology was presented

which can provide good linearity improvement with simple and stable way.

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Keywords

references

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