摘要
Passive bistatic radar(PBR)frequently experiences interference from direct signal waves when detecting maritime targets,which can completely mask target echoes,particularly for distant targets or weak targets with low radar cross-section(RCS).To mitigate this,the paper proposes a direct signal interference(DSI)suppression method.The approach involves dual-channel reception of digital video broadcast satellites(DVB-S)signals from the China Sat-9,followed by signal pre-processing.The reference and surveillance channel signals are then segmented.After segmentation,the signals undergo fast Fourier transformation(FFT),and an adaptive filtering clutter suppres-sion method is applied at each frequency point.Finally,an inverse fast Fourier transform(IFFT)is performed on the suppressed signals to obtain the DSI-suppressed output.Compared to traditional clutter suppression techniques,this method is not only faster but also achieves more effective sup-pression.Simulation experiments involving both single and multiple targets validate the superiority of the proposed algorithm.
基金
supported in part by Shanghai Sailing Scholar(No.23YF1412700)
in part by the Key Laboratory Innova-tion and Development Fund Project,China(No.61424132006).
作者简介
Jianyu He received his bachelor’s degree from Hunan University of Science and Technology in 2022.He is currently a postgraduate student at the School of Communication and Information Engineering,Shanghai University,Shanghai,China.He is interested in passive bistatic radar signal processing;Corresponding author:Hongwen Yu received the B.S.and M.S.degrees in communication and information engineering from Shanghai University,Shanghai,China,in 2011 and 2014,respectively.He is currently pursuing the Ph.D.degree with the School of Electrical and Data Engineering,University of Technology Sydney,Ultimo,NSW,Australia,and Shanghai University.His current research interests include optimization methods for wireless communications and signal processing,Email:hw_yu@shu.edu.cn;Zhichao Sheng received the Ph.D.degree in electrical engineering from the University of Technology Sydney,Sydney,NSW,Australia,in 2018.From 2018 to 2019,he was a Research Fellow with the School of Electronics,Electrical Engineering and Computer Science,Queen’s University Belfast,Belfast,U.K.He is currently a Lecturer with Shanghai University,Shanghai,China.His research interests include optimization methods for wireless communication and signal processing;Yong Fang received the Ph.D.degree in electronic engineering from the City University of Hong Kong,Hong Kong,in 1999.He is currently a Professor with the School of Communication and Information Engineering,Shanghai University,Shanghai,China.His research interests include communication signal processing,blind signal processing,and adaptive information systems。
