Title :
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
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;
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2015 IEEE 29th International Conference on
Conference_Location :
Gwangiu
Print_ISBN :
978-1-4799-7904-2
DOI :
10.1109/AINA.2015.242
