Name
Title | ||
|---|---|---|
A Denoising Autoencoder based wireless channel transfer function estimator for OFDM communication system |
Abstract | ||
|---|---|---|
This paper proposes a channel estimation method for Orthogonal Frequency Division Multiple Access (OFDM) communication system by utilizing a Neural Network (NN) based a Machine Learning (ML). Especially, Autoencoder is utilized to estimate Channel Transfer Function (CTF) and to reduce a noise on the estimate. Japanese Digital TV broadcast system is assumed as target system. Then 8k FFT/IFFT is used and number of sub-carriers are 5617 such as mode3 in Integrated Services Digital Broadcasting-Terrestrial (ISDB-T) spec. 5617 complex CTF points must be estimated by limited number of scattered pilot sub-carriers. Assumed channel condition is 2 wave multipath channel with Additive White Gaussian Noise (AWGN). The multipath parameters are randomly generated. To train the autoencoder, 5000 CTFs are generated and pre-training was performed. System performance was evaluated by measuring Bit Error Rate (BER). The system with conventional frequency-domain interpolator and the system with autoencoder based were compared. According to BER simulation results, the autoencoder based system has shown lower BER than the conventional. At BER=10$^{-5}$, autoencoder system shows roughly 2dB gain than conventional system. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICAIIC.2019.8669044 | 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) |
Keywords | Field | DocType |
Bit error rate,Channel estimation,OFDM,Machine learning,Communication systems,Artificial neural networks | Multipath propagation,Autoencoder,Computer science,Communication channel,Algorithm,Communications system,Orthogonal frequency-division multiple access,Additive white Gaussian noise,Orthogonal frequency-division multiplexing,Bit error rate | Conference |
ISBN | Citations | PageRank |
978-1-5386-7822-0 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomohisa Wada | 1 | 11 | 4.25 |
| Takao Toma | 2 | 0 | 0.34 |
| Mursal Dawodi | 3 | 0 | 0.68 |
| Jawid Baktash | 4 | 0 | 0.34 |