{"title":"基于FPGA的混合基数FFT算法设计","authors":"Zhou Ying-xi, Shao Lei","doi":"10.1109/CCISP55629.2022.9974269","DOIUrl":null,"url":null,"abstract":"With the rapid development of digital signal processing technology in image processing, radar, communication, fast Fourier transform (FFT) has important research significance. FFT is a fast algorithm of discrete Fourier Transform (DFT). Based on FPGA chip, this paper implements FFT of 256 and 1024 points using pipeline architecture by combining the Mixed-Radix algorithm and Cooly-Tukey algorithm. The main work of this paper includes the optimization of data uploading and storage in FPGA chip, the architecture analysis of mixed-radix algorithm implementation, and the improvement of FFT data computing architecture. Full use of FPGA parallel processing, easy programming implementation, pipeline processing architecture and other advantages to achieve high-speed FFT calculation.","PeriodicalId":431851,"journal":{"name":"2022 7th International Conference on Communication, Image and Signal Processing (CCISP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of mixed-radix FFT algorithm based on FPGA\",\"authors\":\"Zhou Ying-xi, Shao Lei\",\"doi\":\"10.1109/CCISP55629.2022.9974269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of digital signal processing technology in image processing, radar, communication, fast Fourier transform (FFT) has important research significance. FFT is a fast algorithm of discrete Fourier Transform (DFT). Based on FPGA chip, this paper implements FFT of 256 and 1024 points using pipeline architecture by combining the Mixed-Radix algorithm and Cooly-Tukey algorithm. The main work of this paper includes the optimization of data uploading and storage in FPGA chip, the architecture analysis of mixed-radix algorithm implementation, and the improvement of FFT data computing architecture. Full use of FPGA parallel processing, easy programming implementation, pipeline processing architecture and other advantages to achieve high-speed FFT calculation.\",\"PeriodicalId\":431851,\"journal\":{\"name\":\"2022 7th International Conference on Communication, Image and Signal Processing (CCISP)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 7th International Conference on Communication, Image and Signal Processing (CCISP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCISP55629.2022.9974269\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 7th International Conference on Communication, Image and Signal Processing (CCISP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCISP55629.2022.9974269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With the rapid development of digital signal processing technology in image processing, radar, communication, fast Fourier transform (FFT) has important research significance. FFT is a fast algorithm of discrete Fourier Transform (DFT). Based on FPGA chip, this paper implements FFT of 256 and 1024 points using pipeline architecture by combining the Mixed-Radix algorithm and Cooly-Tukey algorithm. The main work of this paper includes the optimization of data uploading and storage in FPGA chip, the architecture analysis of mixed-radix algorithm implementation, and the improvement of FFT data computing architecture. Full use of FPGA parallel processing, easy programming implementation, pipeline processing architecture and other advantages to achieve high-speed FFT calculation.