Title :
Optimal fixedl-point fast fourier transform
Author :
Chun-Jen Wei ; Shu-Min Liu ; Sao-Jie Chen ; Yu-Hen Hu
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
FFT is an important IP for OFDM-type wireless transceivers. In the context of software defined radio, we consider implementing a scalable FFT IP that can easily be adapted to different FFT lengths while optimized for power and speed. In particular, we propose to develop word-length adaptable, fixed point butterfly units that can change internal word lengths to provide flexible trade-off between performance and power consumption. Given the FFT length and desired SQNR, we derived analytical solution to determine the desired word length for intermediate results as well as for representing parameters. Compared to previous results, our design yields better SQNR while using shorter word length.
Keywords :
OFDM modulation; fast Fourier transforms; fixed point arithmetic; radio transceivers; software radio; FFT lengths; OFDM-type wireless transceivers; internal word lengths; optimal fixed-point fast Fourier transform; scalable FFT IP; software defined radio; word-length adaptable fixed point butterfly units; Fast Fourier Transform; Signal-to-Quantization-Noise Ratio (SQNR or SNqR); bit-width; fixed-point arithmetic; optimization; word length;
Conference_Titel :
Signal Processing Systems (SiPS), 2013 IEEE Workshop on
Conference_Location :
Taipei City
DOI :
10.1109/SiPS.2013.6674536