摘要
Frame detection is important in burst communication systems for its contribu- tions in frame synchronization. It locates the information bits in the received data stream at receivers. To realize frame detection in the presence of additive white Gaussian noise （AWGN） and frequency offset, a constant false alarm rate （CFAR） detector is proposed through exploitation of cyclic autocorrelation feature implied in the preamble. The frame detection can be achieved prior to bit timing recovery. The threshold setting is independent of the signal level and noise level by utilizing CFAR method. Mathematical expressions is derived in AWGN channel by considering the probability of false alarm and probability of detection, separately. Given the probability of false alarm, the mathematical relationship between the frame detection performance and EJNo of received signals is established. Ex- perimental results are also presented in accor- dance with analysis.
Frame detection is important in burst communication systems for its contributions in frame synchronization.It locates the information bits in the received data stream at receivers.To realize frame detection in the presence of additive white Gaussian noise(AWGN) and frequency offset,a constant false alarm rate(CFAR) detector is proposed through exploitation of cyclic autocorrelation feature implied in the preamble.The frame detection can be achieved prior to bit timing recovery.The threshold setting is independent of the signal level and noise level by utilizing CFAR method.Mathematical expressions is derived in AWGN channel by considering the probability of false alarm and probability of detection,separately.Given the probability of false alarm,the mathematical relationship between the frame detection performance and E_b/N_0 of received signals is established.Experimental results are also presented in accordance with analysis.
基金
supported by National Science Foundation of China under Grant No.61401205
作者简介
LlU Guangzu, studied electronic and information engineering at Nanjing University of Science and Technology, Nanjing, RR. China, and received his M.S. degrees from Shandong University, Jinan, China in 2003. Since 2003 he has been with the School of Electronic and Optical Engineering at Nanjing University of Science and Technology as a teaching assistant, lecturer. His main research areas are com- munications signal processing and software radio.WANG Jianxin, studied electronic and information engineering at Nanjing University of Science and Technology, Nanjing, P.R. China, and received his M.S. and Ph.D. degrees in 1987 and 1999, respectively. Since 1987 he has been with the School of Electronic and Optical Engineering at Nanjing University of Sci- ence and Technology as a teaching assistant, lecturer, associate professor, and since 2001 as a professor. He was a visiting researcher at the Institute of Tele- communications, University of Stuttgart, Germany in 2000, December 2011, and December 2012, respectively. His main research areas are communications signal processing and software radio.BAN Tian, received the M.S. degree in signal and information processing from Southeast University, Nanjing, China in 2009, and the Ph.D. degree in com- munications and electronics from Telecom ParisTech, Paris, France in 2012. Since November 2012 he has been with the School of Electronic and Optical Engi- neering, Nanjing University of Science and Technolo- gy, China, where he is currently an assistant professor. During 2009/2012, Dr, Ban worked at the ＂Laboratoire de Traitement et Communication de I＇lnformation＂ （LTCl）, the joint research laboratory between Telecom ParisTech and the ＂Centre National de la Recherche Scientifique （CNRS）, UMR 5141. His current research interests include fault tolerant techniques in digital designs and digital signal processing.
