Title :
An efficient architecture for high speed turbo decoders
Author :
Abbasfar, Aliazam ; Yao, Kung
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
Abstract :
Turbo codes not only achieve near Shannon-capacity performance, but also have decoders with modest complexity, which is crucial for implementation. So far efficient architectures for decoding of turbo codes have been proposed that are suitable for sequential processing. In this paper a novel parallel processing architecture for a very high-speed turbo decoder is presented. The performance of this decoder and the tradeoff between speed and efficiency are discussed. It is shown that some decoders can run faster by some orders of magnitude while maintaining almost the same processing load. A systolic implementation of this decoder is presented at the end.
Keywords :
iterative decoding; systolic arrays; turbo codes; decoding; efficient architecture; parallel processing architecture; performance; systolic implementation; turbo codes; very high-speed turbo decoder; Concatenated codes; Concurrent computing; Convolutional codes; Iterative algorithms; Iterative decoding; Message passing; Parallel processing; Parity check codes; Systolic arrays; Turbo codes;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1202694