A Deep Learning Based Channel Estimation in Multipath Fading Environment 


Vol. 45,  No. 12, pp. 2068-2071, Dec.  2020
10.7840/kics.2020.45.12.2068


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  Abstract

In this paper, we propose a deep learning based channel estimation method in multipath fading environment. If the pilot sequences for channel estimation are transmitted through the multipath fading channel, their amplitude and phase change in the channel. The deep learning algorithm is applied to estimate the channel. We compare the performance of the deep learning based channel estimator with the widely used linear channel estimator. The deep learning based channel estimator performs better than the conventional linear channel estimation scheme with respect to the mean squared error (MSE).

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  Cite this article

[IEEE Style]

J. Park, K. Ko, H. Kim, H. Wang, S. Choi, "A Deep Learning Based Channel Estimation in Multipath Fading Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 12, pp. 2068-2071, 2020. DOI: 10.7840/kics.2020.45.12.2068.

[ACM Style]

Junggyun Park, Kyeongjun Ko, Heeyoung Kim, Hanho Wang, and Sooyong Choi. 2020. A Deep Learning Based Channel Estimation in Multipath Fading Environment. The Journal of Korean Institute of Communications and Information Sciences, 45, 12, (2020), 2068-2071. DOI: 10.7840/kics.2020.45.12.2068.

[KICS Style]

Junggyun Park, Kyeongjun Ko, Heeyoung Kim, Hanho Wang, Sooyong Choi, "A Deep Learning Based Channel Estimation in Multipath Fading Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 12, pp. 2068-2071, 12. 2020. (https://doi.org/10.7840/kics.2020.45.12.2068)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880