Neural network based channel identification and compensation

被引：4

作者：

Omura, Takaki ^{[1
]}

Kojima, Shun ^{[1
]}

Maruta, Kazuki ^{[1
]}

Ahn, Chang-Jun ^{[1
]}

机构：

[1] Chiba Univ, Grad Sch Engn, Inage Ku, 1-33 Yayoi Cho, Chiba 2638522, Japan

来源：

IEICE COMMUNICATIONS EXPRESS | 2019年 / 8卷 / 10期

关键词：

OFDM; fast fading; nonlinear prediction; artificial neural network; channel estimation;

D O I：

10.1587/comex.2019XBL0095

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This letter proposes a neural network based channel identification and compensation methods for an OFDM system. Under the fast fading environment, pilot-aided channel estimation suffers from channel state fluctuation particularly in the last part of the packet. The proposed approach can estimate the whole transition of channel states and efficiently compensate the channel variation using the generalization capability of a neural network. The computer simulation results clarify its effectiveness via improved BER performance even under the stringent Doppler shift.

引用

下载

页码：416 / 421

页数：6

共 50 条

[31] LTE Device Identification Based on RF Fingerprint with Multi-Channel Convolutional Neural Network
Yin, Pengcheng
Peng, Linning
Zhang, Junqing
Liu, Ming
Fu, Hua
Hu, Aiqun
2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2021,
[32] Dynamics Parameter Identification of Torque Compensation Based on Neural Networks
Zhang, Minglu
Wang, Qing
Liu, Xuan
Li, Manhong
Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, 2024, 57 (07): : 759 - 767
[33] Temperature Compensation of Ultrasonic Flow Measurement Based on the Neural Network
Wang, Yan-xia
Li, Zhi-hao
2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL III, PROCEEDINGS, 2009, : 21 - 24
[34] Parametric fault identification and dynamic compensation techniques for cellular neural network hardware
Grimaila, MR
deGyvez, JP
IEE PROCEEDINGS-CIRCUITS DEVICES AND SYSTEMS, 1996, 143 (05): : 295 - 301
[35] Nonlinear predictive control with error compensation based on neural network
Su, Chengli
Li, Ping
Li, Qian
Wang, Shuqing
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 1702 - 1707
[36] Compensation for Nonlinearity of Valve in ABS Based on BP Neural Network
Wang Dejun
Zheng Xiaowen
Chu Liang
PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 6, 2008, : 571 - +
[37] Illumination compensation based on anisotropic pulse coupled neural network
Yang, Hao
Yang, Mei
Du, Gai-Ying
Tan, Tao
Guangdianzi Jiguang/Journal of Optoelectronics Laser, 2013, 24 (10): : 2038 - 2046
[38] MEMS Gyroscope Null Drift and Compensation Based on Neural Network
Shiau, Jaw-Kuen
Ma, Der-Ming
Huang, Chen-Xuan
Chang, Ming-Yu
ADVANCES IN CIVIL ENGINEERING, PTS 1-6, 2011, 255-260 : 2077 - 2081
[39] Accuracy Compensation of a Spraying Robot Based on RBF Neural Network
Zhu, Qiancheng
Li, Jiting
Yuan, Peijiang
Shi, Zhenyun
Lin, Minqing
Chen, Dongdong
Wang, Tianmiao
IEEE ICARM 2016 - 2016 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM), 2016, : 414 - 419
[40] Adaptive attitude control of UAV based on neural network compensation
Li, Yihang
Lei, Zhongkui
Guo, Yueru
Chen, Kuiyu
Jin, Jie
Yang, Yixin
13TH ASIA CONFERENCE ON MECHANICAL AND AEROSPACE ENGINEERING, ACMAE 2022, 2023, 2472

← 1 2 3 4 5 →