研究生: |
詹朋翰 Peng-Han Jhan |
---|---|
論文名稱: |
基於FPGA之可變長度快速傅立葉轉換處理器設計 FPGA Based Design on Variable Length FFT Processor |
指導教授: |
邱炳樟
Bin-Chang Chieu |
口試委員: |
徐敬文
Ching-Wen Hsue 黃忠偉 Jong-Woei Whang |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 電子工程系 Department of Electronic and Computer Engineering |
論文出版年: | 2005 |
畢業學年度: | 93 |
語文別: | 中文 |
論文頁數: | 92 |
中文關鍵詞: | 快速傅立葉轉換 、數位訊號處理 、現場可規劃邏輯陣列閘 |
外文關鍵詞: | FPGA, fast fourier transform, DSP |
相關次數: | 點閱:674 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
正交分頻多工調變(Orthogonal Frequency Division Multiplexing,OFDM)因為具有節省傳輸頻寬和抵抗符元間干擾(InterSymbol Interference,ISI)的優點,所以被普遍使用於許多新一代的通訊標準中。快速傅立葉轉換(Fast Fourier Transform,FFT)處理器是OFDM系統中的關鍵部分。為了實現出一個能適用於各種通訊標準的可變長度FFT處理器,本篇論文以記憶體式(Memory Based)架構和Mixed Radix演算法做為處理器的設計基礎。除了引用某些文獻的方法降低處理器硬體複雜度,本篇論文也修改了原先的記憶體式架構。利用交替記憶體對週邊使用權的方式達到如同管線式(Pipline)FFT處理器般的連續資料流輸出,接著提出一種資料存取策略使得FFT處理器的輸出入都是正常次序。最後進行處理器的整體效能評估,並驗證其可行性。
Orthogonal Frequency Division Multiplexing (OFDM) has been adopted in new generation communication standards because it can save transmission bandwidth and reduce InterSymbol Interference (ISI). Fast Fourier Transform (FFT) processor is the most important part in the OFDM system. In order to satisfy various kinds of communication application standards, a variable length FFT processor should be designed, Memory Based structure and Mixed Radix algorithm as the foundations of designing processor are established. In addition to low complexity hardware design technique, this thesis also modified the old kind of Memory Based architecture. We take advantage of altering memory access right to peripheral to achieve continuous data flow output like Pipelined FFT processor, and then develop a strategy for data access to ensure the sequences of the FFT processor in/output are normal order. At last we assess the entire performance of the processor, and verify its feasibility.
[1] S Salivahanan and A Vallavaraj, Digital Signal Processing, McGRAW - HILL , pp.497-501(2001)
[2] J. W. Cooley and J. W. Tukey,’’An Algorithm for Machine Computation of Comoplex Fourier Series,’’ Math. Computation, Vol. 19, pp.297-301, April 1965
[3] L. G. Johnson,’’Conflict Free Memory Addressing for Dedicated FFT Hardward,’’IEEE Trans. Circuits and System – II: Analog and Digital Signal Processing, Vol. 39 No.5, pp.312-316, May 1992
[4] D. Cohen,’’ Simplified Control of FFT Hardware,” IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-24, pp. 577-579, 1976.
[5] C. K. Chang, “Investigation and Design of FFT core for OFDM Communication Systems,” NCTU, Master Thesis, Jun. 2002.
[6] Alan V.Oppenheim, Ronald W.Schafer, “Discrete-Time Signal Processing” Prentice Hall, 1999
[7] Hsin-Fu Lo, Ming-Der Shieh, and Chien-Ming Wu, ’’Design of an Efficient FFT Processor for DAB System,’’IEEE International Symposium on Circuits and Systems, Vol. 4, pp. 654-657, 2001
[8] Sau-Gee Chen, Investigation and Design of FFT Core for OFDM Communication Systems, NCTU, Master Thesis, June 2001.
[9] Yutai Ma, “An Effective Memory Addressing Scheme for FFT Processors,” IEEE Transactions on Signal Processing, Vol. 47 Issue: 3, pp. 907-911, March 1999.
[10] C. H. Chang, C. L. Wang and Y. T. Chang, “Efficient VLSI Architectures for Fast Computation of the Discrete Fourier Transform and Its Inverse,” IEEE Transactions on Signal Processing, Vol. 48 Issue: 11, pp. 3206-3216, Nov. 2000.
[11] C. L. Wang and C. H. Chang, “A New Memory-Based FFT Processor for VDSL Transceivers,” IEEE International Symposium on Circuits and Systems, Vol. 4, pp. 670 –673, 2001.
[12] G. Bi and E. V. Jones, “A Pipelined FFT Processor for Word Sequential Data,” IEEE Trans. Acoust., Speech, Signal Processing, Vol. 37 No. 12, pp. 1982-1985, Dec. 1989.
[13] R. Radhouane, P. Liu, c. Modlin, “Minimizing the Memory Requirement for Continuous Flow FFT Implementation: Continuous Flow Mixed Mode FFT (CFMM-FFT) ” Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. Vol. 1, pp. 116-119, 2000.
[14] Baek, J.H.and Son, B.S.,’’ A continuous flow mixed-radix FFT architecture with an in-place algorithm’’,IEEE Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on Volume 2, 25-28 May 2003 Page(s):II-133 - II-136 vol.2
[15] B. S. Kim and L. S. Kim, “Low Power Pipelined FFT Architecture for Synthetic Aperture Radar Signal Processing,” in Proc. IEEE Midwest Symposium on Circuits and Systems, Vol.3, pp. 1367-1370, 1996.
[16] Lihong Jia, Yonghong Gao and Hannu Tenhunen, “ A Pipelined Shared-Memory Architecture for FFT Processors,” 42nd Midwest Symposium on Circuits and Systems, Vol. 2 pp. 804 –807, 2000.
[17] L. Jia, Y. Gao, H Tenhunen,” Efficient VLSI implementation of radix-8 FFT algorithm ” IEEE Pacific Rim Conference on, pp.468 – 471,Aug. 1999.
[18] A. M. Despain, “Fourier transform computer using CORDI iteration, ” IEEE Trans. Comput., Vol. C-23, pp. 993-1001, Oct . 1974.
[19] E. E. Swartzlander, W. K. W. Young, and S. J. joseph, ”A radix-4 delay commutator for Fast Fourier Transform processor implement, ” IEEE J. Solid-State Circuit, SC-19(5):702-709, Oct. 1984.
[20] E. H. Wold and A. M. Despain, “Pipeline and parallel pipeline FFT processor for VSLI implementation ”IEEE Trans. Comput., vol.C-33, pp.414-426, May 1984.