摘要
Channelization typically realized by digital filter banks is an important topic in high frequency(HF) communication and software defined radios(SDR) areas. Channelization has a rigorous requirement for the characteristic of frequency response, e.g., steep transitional band and sharp decay. To address this issue, we investigated the feasibility and implementation of applying fast filter bank(FFB) in channelization in this paper. We analyzed the butterfly structure of FFB similar with fast Fourier transform(FFT), in which prototype sub-filters are cascaded to achieve a low complexity. Hence, it is suitable for designing filter bank with steep transitional band and sharp decay in stop-band. Moreover, we designed a pipelined structure of FFB to achieve a balance between area and performance. Design example shows that FFB has lower computational complexity compared with the other filter banks.
Channelization typically realized by digital filter banks is an important topic in high frequency（HF） communication and software defined radios（SDR） areas. Channelization has a rigorous requirement for the characteristic of frequency response, e.g., steep transitional band and sharp decay. To address this issue, we investigated the feasibility and implementation of applying fast filter bank（FFB） in channelization in this paper. We analyzed the butterfly structure of FFB similar with fast Fourier transform（FFT）, in which prototype sub-filters are cascaded to achieve a low complexity. Hence, it is suitable for designing filter bank with steep transitional band and sharp decay in stop-band. Moreover, we designed a pipelined structure of FFB to achieve a balance between area and performance. Design example shows that FFB has lower computational complexity compared with the other filter banks.
基金
supported in part by the National Natural Science Foundation of China under Grant 61601477, and 61601480
作者简介
Yixin Fan, was born in Changde, China, in 1993. He received the B.S. degree in electronic information science and technology from Hunan Normal University, Changsha, China, in 2016. He is now a master student in the School of Hunan University and focuses on the research of digital signal processing and wideband communication. Email： 247514843@qq.com;The corresponding author, email： gu.fanglin@audt.edu.cn,Fanglin Gu, was born in Loudi, China, in 1986. He received the B. Sc. degree in communication engineering and the Ph.D. degree in information and communication engineering from PLA University of Science and Technology, Nanjing, China, in 2008 and 2013, respectively. Currently, he is a lecturer at the College of Electronic Science, National Uni- versity of Defense Technology, Changsha, China. His research interests are in the area of signal processing for communications, wideband communications.;Xiaobo Tan, was born in Yunnan, China, in 1985. He received the B. Sc. degree in communication engineering from Zhejiang University in 2008. Then, he received the M Sc. degree and the Ph.D. degree in information and communication engineering from PLA University of Science and Technology, Nanjing, China, in 2011 and 2014, respectively. Currently, he is an engineer at the Model Office in Aerospace Industry Group Corporation, PLA Rocket Force, Beijing, China. His research interests are in the area of signal processing for communications, wideband communications. Email：txb205@126.com;Ling Wang, was born in Changsha, China, in 1962. She received the B.S. and M.S. degree in electronic engineering from Hunan University, Changsha, China, in 1984 and 1993 respectively and the Ph.D. degree in Geophysics from Central South university, Changsha, China, in 1996. She is now a professor in the College of Electrical and Information Engineering, Hunan University and focuses on the research of digital signal processing and radio communication. Email： wl_hunu@163.com
