DocumentCode :
455178
Title :
Architecture and Performance Analysis of Lossless FFT in OFDM Systems
Author :
Chang, Wei-Hsin ; Nguyen, Truong
Author_Institution :
Dept. of Electr. & Comput. Eng., UCSD, La Jolla, CA
Volume :
3
fYear :
2006
fDate :
14-19 May 2006
Abstract :
The design of fast Fourier transform (FFT) architecture is one of the bottlenecks in the implementation of OFDM systems. With the recent progress on the development of lossless transform, its possible applications in communication systems have received more and more attention. In this paper, a lossless integer FFT (IntFFT) architecture based on radix-22 FFT algorithm is analyzed and implemented. By exploring the symmetric property, the overall memory usage is reduced by 27.4% for a 64-point FFT design. The variance of quantization loss for both IntFFT and conventional fixed-point FFT (FxpFFT) is derived. The signal to quantization loss ratio (SQNR) and the bit error rate (BER) performance in system level is also simulated to test the accuracy of IntFFT. Based on the simulation results, IntFFT can yield comparative performance while using less memory usage than FxpFFT designs
Keywords :
OFDM modulation; error statistics; fast Fourier transforms; quantisation (signal); BER; OFDM systems; SQNR; bit error rate; communication systems; fast Fourier transform architecture; fixed-point FFT; lossless integer FFT architecture; orthogonal frequency division multiplexing; quantization loss; signal to quantization loss ratio; Bit error rate; Computer architecture; Discrete Fourier transforms; Discrete cosine transforms; Discrete wavelet transforms; OFDM modulation; Performance analysis; Quantization; Signal processing algorithms; Video signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
ISSN :
1520-6149
Print_ISBN :
1-4244-0469-X
Type :
conf
DOI :
10.1109/ICASSP.2006.1660831
Filename :
1660831
Link To Document :
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