DCGAN Based Spectrum Sensing Data Enhancement for Behavior Recognition in Self-Organized Communication Network  

作　　者：Kaixin Cheng Lei Zhu Changhua Yao Lu Yu Xinrong Wu Xiang Zheng Lei Wang Fandi Lin 

机构地区：[1]The College of Communications Engineering,Army Engineering University,Nanjing 210007,China [2]School of Electronic and Information Engineering,Nanjing University of Information Science and Technology.Nanjing 210044,China

出　　处：《China Communications》2021年第11期182-196,共15页中国通信（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.61971439 and No.61702543);the Natural Science Foundation of the Jiangsu Province of China(No.BK20191329);the China Postdoctoral Science Foundation Project(No.2019T120987);the Startup Foundation for Introducing Talent of NUIST(No.2020r100).

摘　　要：Communication behavior recognition is an issue with increasingly importance in the antiterrorism and national defense area.However,the sensing data obtained in actual environment is often not sufficient to accurately analyze the communication behavior.Traditional means can hardly utilize the scarce and crude spectrum sensing data captured in a real scene.Thus,communication behavior recognition using raw sensing data under smallsample condition has become a new challenge.In this paper,a data enhanced communication behavior recognition(DECBR)scheme is proposed to meet this challenge.Firstly,a preprocessing method is designed to make the raw spectrum data suitable for the proposed scheme.Then,an adaptive convolutional neural network structure is exploited to carry out communication behavior recognition.Moreover,DCGAN is applied to support data enhancement,which realize communication behavior recognition under small-sample condition.Finally,the scheme is verified by experiments under different data size.The results show that the DECBR scheme can greatly improve the accuracy and efficiency of behavior recognition under smallsample condition.

关 键 词：spectrum sensing communication behavior recognition small-sample data enhancement selforganized network 

分 类 号：TN925[电子电信—通信与信息系统]