Channel Equalization of MIMO-OFDM System Based on Extreme Learning Machine
2014 ◽
Vol 536-537
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pp. 1751-1757
Keyword(s):
This paper proposes a novel and efficient method for channel equalization of MIMO-OFDM system. The method utilizes extreme learning machine (ELM), a class of supervised learning algorithms, to achieve fast training and low bit error rates. The numerical simulation results show that the proposed methods significantly outperform traditional feed-forward neural networks based MIMO-OFDM system equalizers in terms of bit error rate performance.
2014 ◽
Vol 536-537
◽
pp. 824-827
Keyword(s):
Keyword(s):
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2014 ◽
Vol 989-994
◽
pp. 3679-3682
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2013 ◽
Vol 21
(supp02)
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pp. 23-34
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2016 ◽
Vol 2016
◽
pp. 1-10
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Keyword(s):
2017 ◽
Vol 21
(5)
◽
pp. 795-802
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