DocumentCode
1856661
Title
Cost-efficient parallel lattice VLSI architecture for the IFFT/FFT in DMT transceiver technology
Author
Wu, An-Yeu ; Chan, Tsun-Shun
Author_Institution
Dept. of Electr. Eng., Nat. Central Univ., Chung-Li, Taiwan
Volume
6
fYear
1998
fDate
12-15 May 1998
Firstpage
3517
Abstract
The discrete multitone (DMT) modulation/demodulation scheme is the standard transmission technique in the application of asymmetric digital subscriber lines (ADSL). Although the DMT can achieve a higher data rate compared with other modulation/demodulation schemes, its computational complexity is too high for cost-efficient implementations. For example, it requires 512-point IFFT/FFT as the modulation/demodulation kernel. The large block size results in heavy computational load in running programmable DSP processors. It also makes VLSI implementation not feasible. We derive the parallel lattice structure for the IFFT/FFT based on the time-recursive approach. The resulting architectures are regular, modular, and without global communications so that they are very suitable for VLSI implementation. Also, the proposed structure requires only 11% of the multipliers and 9% of the adders compared with the direct implementation approach
Keywords
VLSI; computational complexity; demodulation; digital signal processing chips; fast Fourier transforms; inverse problems; modulation; parallel architectures; subscriber loops; transceivers; ADSL; DMT transceiver technology; IFFT/FFT; adders; asymmetric digital subscriber lines; computational complexity; cost-efficient architecture; data rate; discrete multitone; modular architecture; modulation/demodulation; multipliers; parallel lattice VLSI architecture; programmable DSP processors; regular architecture; time-recursive approach; Computational complexity; Computer architecture; DSL; Demodulation; Digital modulation; Digital signal processing; Kernel; Lattices; OFDM modulation; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location
Seattle, WA
ISSN
1520-6149
Print_ISBN
0-7803-4428-6
Type
conf
DOI
10.1109/ICASSP.1998.679626
Filename
679626
Link To Document