2015 IEEE 29th International Conference on Advanced Information Networking and Applications (AINA) (2015)
Gwangiu, South Korea
March 24, 2015 to March 27, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINA.2015.242
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.
Channel estimation, OFDM, Input variables, Neural networks, Signal processing algorithms, Estimation, Bit error rate
C. Cheng, Y. Huang, H. Chen and T. Yao, "Neural Network-Based Estimation for OFDM Channels," 2015 IEEE 29th International Conference on Advanced Information Networking and Applications (AINA), Gwangiu, South Korea, 2015, pp. 600-604.