Functional Link Neural Network Based NARMA Channel Modelling

被引：2

作者：

Bhuyan, Manasjyoti ^{[1
]}

Sarma, Kandarpa Kumar ^{[1
]}

机构：

[1] Gauhati Univ, Dept Elect & Commun Technol, Gauhati 781014, India

来源：

PROCEEDINGS OF 2014 2ND INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL AND BUSINESS INTELLIGENCE (ISCBI) | 2014年

关键词：

D O I：

10.1109/ISCBI.2014.27

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In a typical mobile environment because of the high speed of the terminals the channel coherence time becomes smaller and the assumption that the channel is constant within a frame no longer holds. To aid the channel estimation for coherent detection in such a situation, data aided estimation becomes inefficient because of the requirement of high density of reference symbols in a frame. Previously prediction of mobile channel based on ARMA model is established with the cost of high computational requirement to solve the Yule-Walkar equations. We investigated the performance of some Artificial Neural Networks (ANN) to model Rayleigh fading channel as ARMA, NARMA and AR process. Modified Functional Link Neural Network (FLNN) with nonlinear functional expansion is found to be suitable for modelling the Jacks tap gain process

引用

页码：93 / 96

页数：4

共 50 条

[1] An Intelligent Functional Link Artificial Neural Network for Channel Equalization
Jatoth, Ravi Kumar
Vaddadi, M. S. B. Saithej
Anoop, Saladi S. V. K. K.
[J]. PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SIGNAL PROCESSING, ROBOTICS AND AUTOMATION, 2009, : 240 - 245
[2] HYBRID GA-PSO TRAINED FUNCTIONAL LINK ARTIFICIAL NEURAL NETWORK BASED CHANNEL EQUALIZER
Utkarsh, Ayush
Kantha, Aditya Sarjak
Praveen, J.
Kumar, J. Ravi
[J]. 2ND INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN) 2015, 2015, : 285 - 290
[3] A FUNCTIONAL-LINK ARTIFICIAL NEURAL-NETWORK FOR ADAPTIVE CHANNEL EQUALIZATION
PATRA, JC
PAL, RN
[J]. SIGNAL PROCESSING, 1995, 43 (02) : 181 - 195
[4] Functional-Link Neural Network Based Nonlinear Equalizer
Lei, Pingping
Hu, Shaohua
Zhang, Jing
Tang, Bi
Feng, Yuzhong
Huang, Jin
Qiu, Kun
[J]. 2019 18TH INTERNATIONAL CONFERENCE ON OPTICAL COMMUNICATIONS AND NETWORKS (ICOCN), 2019,
[5] Functional link neural network cascaded with Chebyshev orthogonal polynomial for nonlinear channel equalization
Zhao, Haiquan
Zhang, Jiashu
[J]. SIGNAL PROCESSING, 2008, 88 (08) : 1946 - 1957
[6] A functional-link-based fuzzy neural network for temperature control
Chen, Cheng-Hung
Lin, Chin-Teng
[J]. 2007 IEEE SYMPOSIUM ON FOUNDATIONS OF COMPUTATIONAL INTELLIGENCE, VOLS 1 AND 2, 2007, : 53 - +
[7] Nonlinear Correction of Methane Sensor Based on Functional Link Neural Network
Guo, Quanmin
Jia, Yongfeng
[J]. 2009 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER SCIENCE, VOL 1, PROCEEDINGS, 2009, : 293 - +
[8] Fibonacci Polynomials Based Functional Link Neural Network for Classification Tasks
Iqbal, Umer
Ghazali, Rozaida
Shah, Habib
[J]. RECENT ADVANCES ON SOFT COMPUTING AND DATA MINING (SCDM 2018), 2018, 700 : 234 - 242
[9] A new adaptive functional-link neural-network-based DFE for overcoming co-channel interference
Hussain, A
Soraghan, JJ
Durrani, TS
[J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 1997, 45 (11) : 1358 - 1362
[10] Hybrid Neural Network-Based Fading Channel Prediction for Link Adaptation
Eom, Chahyeon
Lee, Chungyong
[J]. IEEE ACCESS, 2021, 9 : 117257 - 117266

← 1 2 3 4 5 →