DocumentCode
316133
Title
A low-complexity SCEE algorithm for convolutional codes and its concatenated coding for wireless communication
Author
Chang, Jin Su ; Choi, Seung Bae ; Lee, Moon Ho
Author_Institution
Dept. of Inf. & Commun. Eng., Chonbuk Nat. Univ., Chonju, South Korea
fYear
1997
fDate
12-16 Oct 1997
Firstpage
254
Abstract
A low-complexity SCEE (syndrome check error estimation) decoding scheme for convolutional codes and its concatenated coding scheme are proposed. First, we describe the operation of the decoding steps in the proposed algorithm. Then deterministic values on the decoding operation are derived when some combination of the predecoder-reencoder is used. Computer simulation results show that the computational complexity of the proposed SCEE decoder is significantly reduced compared to that of the conventional Viterbi decoder without degradation of the Pe performance. Also, simulation results of the BER performance of the concatenated SCEE/hard-decision Viterbi (HD-Viterbi) and SCEE/RS (Reed-Solomon) codes are presented
Keywords
Reed-Solomon codes; Viterbi decoding; coding errors; computational complexity; concatenated codes; convolutional codes; error statistics; probability; radiocommunication; BER performance; Reed-Solomon codes; Viterbi decoder; computational complexity; computer simulation results; concatenated codes; concatenated coding; convolutional codes; decoding; deterministic values; error probability; hard-decision Viterbi codes; low-complexity SCEE algorithm; predecoder-reencoder; syndrome check error estimation; wireless communication; Bit error rate; Computational complexity; Computational modeling; Computer simulation; Concatenated codes; Convolutional codes; Decoding; Degradation; Error analysis; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Universal Personal Communications Record, 1997. Conference Record., 1997 IEEE 6th International Conference on
Conference_Location
San Diego, CA
ISSN
1091-8442
Print_ISBN
0-7803-3777-8
Type
conf
DOI
10.1109/ICUPC.1997.625560
Filename
625560
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