A Strategy of Signal Detection for Performance Improvement in Clipping Based OFDM System

In this paper, the supervised Deep Neural Network (DNN) based signal detection is analyzed for combating with nonlinear distortions efficiently and improving error performances in clipping based Orthogonal Frequency Division Multiplexing (OFDM) ssystem. One of the main disadvantages for the OFDM is...

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Bibliographic Details
Published in:Computers, materials & continua materials & continua, 2020, Vol.64 (1), p.181-191
Main Authors: Ro, Jae-Hyun, Lee, Won-Seok, Kang, Min-Goo, Hong, Dae-Ki, Song, Hyoung-Kyu
Format: Article
Language:English
Subjects:
Antennas
Artificial neural networks
Computer simulation
Datasets
Decomposition
Distortion
Error detection
Machine learning
MIMO communication
Neural networks
Orthogonal Frequency Division Multiplexing
Performance enhancement
Receivers & amplifiers
Signal detection
Signal processing
Wireless communications
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Summary:In this paper, the supervised Deep Neural Network (DNN) based signal detection is analyzed for combating with nonlinear distortions efficiently and improving error performances in clipping based Orthogonal Frequency Division Multiplexing (OFDM) ssystem. One of the main disadvantages for the OFDM is the high Peak to Average Power Ratio (PAPR). The clipping is a simple method for the PAPR reduction. However, an effect of the clipping is nonlinear distortion, and estimations for transmitting symbols are difficult despite a Maximum Likelihood (ML) detection at the receiver. The DNN based online signal detection uses the offline learning model where all weights and biases at fullyconnected layers are set to overcome nonlinear distortions by using training data sets. Thus, this paper introduces the required processes for the online signal detection and offline learning, and compares error performances with the ML detection in the clipping-based OFDM systems. In simulation results, the DNN based signal detection has better error performance than the conventional ML detection in multi-path fading wireless channel. The performance improvement is large as the complexity of system is increased such as huge Multiple Input Multiple Output (MIMO) system and high clipping rate.
ISSN:1546-2226
1546-2218
1546-2226
DOI:10.32604/cmc.2020.09998