DocumentCode
2972488
Title
A Viterbi decoder architecture based on parallel processing elements
Author
Meier, Stefan R.
Author_Institution
Siemens AG, Erlangen, Germany
fYear
1990
fDate
2-5 Dec 1990
Firstpage
1323
Abstract
An architecture for a VLSI Viterbi decoder chip for digital radio systems with trellis-coded modulation based on multiplexing and interleaving of the convolutional code is presented. The architecture is shown to be well suited for a regular and modular chip design by using parallel processing elements. The basic processing element consists of a RAM and a datapath, which call be pipelined to achieve high data rates. The concept of communication between datapath and RAM, which allows the use of standard RAM macros, and the synchronization of the parallel processing elements performed by a simple finite-state machine are discussed. It is shown that by applying pipelining in the datapath, a high data rate can be reached and that with the modularity and regularity of the architecture, no tuning of extremely time-critical paths or time-critical wiring is necessary
Keywords
VLSI; decoding; digital radio systems; digital signal processing chips; error correction codes; parallel architectures; random-access storage; RAM; RAM macros; VLSI chips; Viterbi decoder architecture; Viterbi decoder chip; convolutional code; datapath; digital radio systems; finite-state machine; high data rates; interleaving; modular chip design; multiplexing; parallel processing elements; pipelining; synchronization; trellis-coded modulation; Convolutional codes; Decoding; Digital communication; Digital modulation; Interleaved codes; Modulation coding; Parallel processing; Time factors; Very large scale integration; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 1990, and Exhibition. 'Communications: Connecting the Future', GLOBECOM '90., IEEE
Conference_Location
San Diego, CA
Print_ISBN
0-87942-632-2
Type
conf
DOI
10.1109/GLOCOM.1990.116709
Filename
116709
Link To Document