On the Research of Frequency offset estimation algorithm of FTN signal based on improved steepest descent method

被引：0

作者：

Jiao, Shihao ^{[1
]}

Liang, Xiaohu ^{[1
]}

Wang, Heng ^{[1
]}

Kang, Dongcheng ^{[1
]}

Zhang, Zesen ^{[1
]}

Zhao, Luyu ^{[1
]}

机构：

[1] Arm Engn Univ PLA, Coll Commun Engn, Nanjing, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

Faster-than-Nyquist signaling; Frequency offset estimation; Steepest descent method; INTERPOLATION;

D O I：

10.1109/itaic.2019.8785885

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Faster-than-Nyquist signaling is a kind of information transmission technology. It can compress the transmission symbol interval to improve the spectrum utilization, which has good application prospects. In this paper, an improved steepest descent method based low complexity frequency offset estimation algorithm for FTN signals is proposed. The idea is to replace the derivation process of the original method with the comparison of amplitude values under the idea of differential, so as to reduce the complexity of frequency offset estimation at the receiving end of FTN, reduce the estimation threshold, improve the estimation accuracy and save the cost, which provides an important reference for the practical engineering application of FTN transmission.

引用

页码：1879 / 1883

页数：5

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