Neural Network-Based Estimation for OFDM Channels

Author

Chia-Hsin Cheng ; Yung-Fa Huang ; Hsing-Chung Chen ; Tsung-Yu Yao

Author_Institution

Dept. of Electr. Eng., Nat. Formosa Univ., Huwei, Taiwan

fYear

2015

fDate

24-27 March 2015

Firstpage

600

Lastpage

604

Abstract

In this paper, an Neural network based channel estimation algorithm is proposed in the orthogonal frequency division multiplexing (OFDM) systems. The adoption of Functional Link Neural Fuzzy Network (FLNFN) algorithm is used for channel estimation. Experimental results indicate that the performance of the proposed channel estimation can improve the system performance, compared to the traditional channel estimation such as least square (LS), minimum mean square error (MMSE) algorithms.

Keywords

OFDM modulation; channel estimation; least mean squares methods; neural nets; telecommunication channels; MMSE; OFDM channels; channel estimation algorithm; functional link neural fuzzy network algorithm; least square algorithms; minimum mean square error algorithms; neural network-based estimation; orthogonal frequency division multiplexing systems; Bit error rate; Channel estimation; Estimation; Input variables; Neural networks; OFDM; Signal processing algorithms; Minimum mean square error; Neural Fuzzy Network; OFDM; channel estimation; least square;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Information Networking and Applications (AINA), 2015 IEEE 29th International Conference on

Conference_Location

Gwangiu

ISSN

1550-445X

Print_ISBN

978-1-4799-7904-2

Type

conf

DOI

10.1109/AINA.2015.242

Filename

7098027