DocumentCode
2012248
Title
An efficient reformulation based VLSI architecture for adaptive Viterbi decoding in wireless applications
Author
Gang, Yao ; Arslan, Tughrul ; Erdogan, Ahmet
Author_Institution
Sch. of Electr. Eng., Edinburgh Univ., UK
fYear
2004
fDate
13-15 Oct. 2004
Firstpage
206
Lastpage
210
Abstract
New trends in wireless communication systems has dictated the need for dynamical adaptation of communication systems in order to suit environmental requirements. The authors present a reformulation based VLSI architecture for threshold selection for adaptive Viterbi decoding in wireless applications. Through reformulation of the adaptive Viterbi algorithm, the compare operation for threshold selection in the add compare select (ACS) unit is simplified from variable based to constant based and the width of the path metric is reduced. The reformulated architecture results in a significant reduction of hardware complexity in both standard cell and look up table (LUT) technologies. The paper describes the reformulation technique, its VLSI architecture for adaptive Viterbi decoding and its implementations in both ASIC and FPGA technologies. We also demonstrate that in addition to significant reduction in data path complexity, there is also a 25% to 47% storage reduction in the path metric memory unit (PMU).
Keywords
VLSI; Viterbi decoding; adaptive decoding; application specific integrated circuits; field programmable gate arrays; forward error correction; table lookup; ASIC; FEC decoding; FPGA; PMU storage reduction; adaptive Viterbi decoding; add compare select unit; constant based ACS unit; data path complexity reduction; look up table technologies; path metric memory unit; path metric width reduction; reformulation based VLSI architecture; threshold selection; wireless communication systems; Application specific integrated circuits; Decoding; Field programmable gate arrays; Hardware; Paper technology; Phasor measurement units; Table lookup; Very large scale integration; Viterbi algorithm; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems, 2004. SIPS 2004. IEEE Workshop on
Print_ISBN
0-7803-8504-7
Type
conf
DOI
10.1109/SIPS.2004.1363050
Filename
1363050
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