OFDM网络中信道估计的神经网络实现

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2016-12-01 DOI:10.1109/IC3I.2016.7918004

Ravinder Kaur, Rinkesh Mittal

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引用次数: 1

摘要

信道估计是无线OFDM网络研究的一个重要领域。在这方面已经做了大量的工作，但只有少数技术在OFDM网络中表现出较好的信道估计效率。提出了一种基于神经网络的基于罗利信道的OFDM网络信道估计方法。仿真结果表明，在MATLAB环境下利用神经网络得到的均方误差(MSE)和误码率(BER)是令人满意的。

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Implementation of neural network for channel estimation in OFDM network

Channel estimation is an important field of interest in wireless OFDM networks. Lot of work has been done in this field, but only few techniques has presented good efficiency in channel estimation in OFDM network. This paper has presented the neural network based channel estimation for OFDM network using Raleigh channel. From result simulation, it has been concluded that obtained values of Mean Square Error (MSE) and Bit Error Rate (BER) are satisfactory using neural network in MATLAB environment.

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2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)

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