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8-Weighted-Type Fractional Fourier Transform Based Three-Branch Transmission Method 被引量:4

8-Weighted-Type Fractional Fourier Transform Based Three-Branch Transmission Method
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摘要 To improve the bit error rate(BER) performance of multiple input multiple output(MIMO) systems with low complexity, a three-branch transmission scheme employing 8-weighted-type fractional Fourier transform(8-WFRFT) module is proposed. In the proposed scheme, the original signal is first decomposed into eight sub-signals and then merged into three component signals by the same carrier pattern. The three signals have mathematical constraint relations among themselves that can counteract the channel fading. They are simultaneously transmitted via three independent antennas after delay regulating. At the receiver, an inverse 8-WFRFT module is employed to obtain the estimated original signal by processing the received signal. Then, the bit error rate(BER) performance, transmitting power, transmission rate, power spectrum and computational complexity of the proposed scheme are analysed in detail. Numerical results show that the proposed scheme has a superior performance compared to STBC based three-antenna transmission scheme, in terms of BER performance. To improve the bit error rate(BER) performance of multiple input multiple output(MIMO) systems with low complexity, a three-branch transmission scheme employing 8-weighted-type fractional Fourier transform(8-WFRFT) module is proposed. In the proposed scheme, the original signal is first decomposed into eight sub-signals and then merged into three component signals by the same carrier pattern. The three signals have mathematical constraint relations among themselves that can counteract the channel fading. They are simultaneously transmitted via three independent antennas after delay regulating. At the receiver, an inverse 8-WFRFT module is employed to obtain the estimated original signal by processing the received signal. Then, the bit error rate(BER) performance, transmitting power, transmission rate, power spectrum and computational complexity of the proposed scheme are analysed in detail. Numerical results show that the proposed scheme has a superior performance compared to STBC based three-antenna transmission scheme, in terms of BER performance.
出处 《China Communications》 SCIE CSCD 2018年第9期147-159,共13页 中国通信(英文版)
基金 supported by the National Basic Research Program of China (2013CB329003) the National Natural Science Foundation Program of China (No. 61671179) Funds for Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory (EX156410046)
关键词 8-weighted-type fractional Fourier transform (8-WFRFT) bit error rate (BER) low complexity multiple input multiple output (MIMO) Fourier 传播方法 三分支 计算复杂性 换基 模式合并 接收装置 STBC
作者简介 Jing Li, is currently a Ph.D. candidate of Information and Communication Engineering at the School of Electronics and Information Technology, Harbin Institute of Technology (HIT), Harbin, China. She has received the B. Eng. and the M. Eng. degrees from HIT, Harbin, in 2011 and 2013, respectively. Her research interest is communication technoLo- gy in transformation domain. Email: jinglee@stu.hit.edu.cn;The corresponding author, email: shaxuejun@hit.edu.cn,Xuejun Sha, is a Professor in Communication Research Center (CRC) at the School of Electronics and Information Technology, Harbin Institute of Technology, Harbin, China, He became a Lecturer and a Professor in 1994 and 2000, respectively. He received Ph.D. degree in Communications and Electronics Systems from Harbin Institute of Technology, in 1995. From 1997 to 1998, he was a postdoctoral fellow in Korea University, Seoul, Korea. His main research interests include communication network, wireless ad-hoc network, and broadband wireless access.;Xiaojie Fang, is currently a Ph.D. candidate in communication engineering in Harbin Institute of Technology. He has been an IEEE student member since 2012. His research interest is wireless communication security and communication technology in transformation domain. Email: fangxiaojie@hit.edu.cn;Lin Mei, is currently an associate professor at Harbin Institute of technology, Harbin, China. He received the B.E., M.S. and Ph. D. degrees in communication engineering from Harbin Institute of technology in 2005, 2007 and 2010 respectively. His research interests include communication signal processing and transform domain communication system. Email: meilin@hit.edu.cn
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