Presentation 1996/3/18
Multilevel Constructions of Convolutional Codes using a Generalized Concatenated Approach
Robert H. MORELOS-ZARAGOZA, Hideki IMAI,
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Abstract(in English) A new family of convolutional codes is introduced. The proposed codes belong to the class of generalized concatenated (GC) codes. Binary (punctured) convolutional codes are used as outer codes. Binary linear block codes of short length, and their two-way subcode partition chain, are used as inner codes. Codes constructed in this fashion are said to be GC convolutional codes or multilevel convolutional codes. The multilevel structure of the new convolutional codes is useful in devising suboptimal multistage soft decision decodings. This results in a reduction of decoding complexity with respect to single-stage maximum likelihood decoding. Constructions of convolutional codes for unequal error protection, with very low decoding complexity, are presented.
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Keyword(in English) Generalized concatenated codes / punctured convolutional codes / unequal error protection
Paper # IT95-57,ISEC95-52,SST95-118
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Committee IT
Conference Date 1996/3/18(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Multilevel Constructions of Convolutional Codes using a Generalized Concatenated Approach
Sub Title (in English)
Keyword(1) Generalized concatenated codes
Keyword(2) punctured convolutional codes
Keyword(3) unequal error protection
1st Author's Name Robert H. MORELOS-ZARAGOZA
1st Author's Affiliation The University of Tokyo, Institute of Industrial Science()
2nd Author's Name Hideki IMAI
2nd Author's Affiliation The University of Tokyo, Institute of Industrial Science
Date 1996/3/18
Paper # IT95-57,ISEC95-52,SST95-118
Volume (vol) vol.95
Number (no) 590
Page pp.pp.-
#Pages 6
Date of Issue