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

作　　者：Jae-Hyun Ro Won-Seok Lee Min-Goo Kang Dae-Ki Hong Hyoung-Kyu Song 

机构地区：[1]Department of Information and Communication Engineering,Sejong University,Seoul,Korea [2]Department of IT Contents,Hanshin University,Osan-si,Korea [3]Department of System Semiconductor Engineering,SangMyung University,Cheonan-si,31066,Korea

出　　处：《Computers, Materials & Continua》2020年第7期181-191,共11页计算机、材料和连续体（英文）

基　　金：This work was supported by Institute for Information&communications Technology Promotion(IITP)grant funded by the Korea government(MSIT)(No.2017-0-00217,Development of Immersive Signage Based on Variable Transparency and Multiple Layers);was supported by the MSIT(Ministry of Science and ICT),Korea,under the ITRC(Information Technology Research Center)support program(IITP-2019-2018-0-01423)supervised by the IITP(Institute for Information&communications Technology Promotion).

摘　　要：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 fully-connected 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.

关 键 词：CLIPPING DNN ML nonlinear distortion OFDM 

分 类 号：TN9[电子电信—信息与通信工程]