DocumentCode :
978488
Title :
An OFDM-specified lossless FFT architecture
Author :
Chang, Wei-Hsin ; Nguyen, Truong
Author_Institution :
Dept. ofElectrical & Comput. Eng., Univ. of California, La Jolla, CA
Volume :
53
Issue :
6
fYear :
2006
fDate :
6/1/2006 12:00:00 AM
Firstpage :
1235
Lastpage :
1243
Abstract :
In this paper, a VLSI architecture based on radix-22 integer fast Fourier transform (IntFFT) is proposed to demonstrate its efficiency. The IntFFT algorithm guarantees the perfect reconstruction property of transformed samples. For a 64-points radix-22 FFT architecture, the proposed architecture uses 2 sets of complex multipliers (six real multipliers) and has 6 pipeline stages. By exploiting the symmetric property of lossless transform, the memory usage is reduced by 27.4%. The whole design is synthesized and simulated with a 0.18-mum TSMC 1P6M standard cell library and its reported equivalent gate count usage is 17,963 gates. The whole chip size is 975 mumtimes977 mum with a core size of 500 mumtimes500 mum. The core power consumption is 83.56 mW. A Simulink-based orthogonal frequency demodulation multiplexing platform is utilized to compare the conventional fixed-point FFT and proposed IntFFT from the viewpoint of system-level behavior in items of signal-to-quantization-noise ratio (SQNR) and bit error rate (BER). The quantization loss analysis of these two types of FFT is also derived and compared. Based on the simulation results, the proposed lossless IntFFT architecture can achieve comparative SQNR and BER performance with reduced memory usage
Keywords :
Fourier transforms; OFDM modulation; VLSI; digital arithmetic; integrated circuit design; logic design; quantisation (signal); 0.18 micron; 500 micron; 83.56 mW; 975 micron; 977 micron; OFDM-specified lossless FFT architecture; VLSI architecture; bit error rate; complex multipliers; integer fast Fourier transform; lossless transform; orthogonal frequency demodulation multiplexing platform; perfect reconstruction property; quantization loss analysis; signal-to-quantization-noise ratio; Bit error rate; Demodulation; Energy consumption; Fast Fourier transforms; Libraries; OFDM; Performance loss; Pipelines; Quantization; Very large scale integration; Fast fourier transform (FFT); integer FFT (IntFFT); orthogonal frequency demodulation multiplexing (OFDM); quantization loss analysis;
fLanguage :
English
Journal_Title :
Circuits and Systems I: Regular Papers, IEEE Transactions on
Publisher :
ieee
ISSN :
1549-8328
Type :
jour
DOI :
10.1109/TCSI.2006.875167
Filename :
1643430
Link To Document :
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