DocumentCode
407749
Title
New results on the search for convolutional self-doubly orthogonal codes suitable for iterative threshold decoding
Author
Haccoun, David ; Cardinal, Christian ; Gagnon, Francois
Author_Institution
Dept. of Electr. Eng., Ecole Polytech. de Montreal, Que., Canada
Volume
1
fYear
2003
fDate
6-9 Oct. 2003
Firstpage
304
Abstract
We present new results on the search and determination of wide-sense convolutional self-doubly orthogonal codes (CSO2C-WS) which can be decoded using a simple iterative threshold decoding algorithm without interleavers. For their iterative decoding, in order to ensure the independence of observables over the first two iterations without the presence of interleavers, these CSO2C codes must satisfy some required orthogonal properties. The error performance of CSO2C codes, depends essentially on the number of taps, J, of the code generators, but not on the code memory length. We present a code searching technique, based on computer search heuristic algorithms, which has yielded the best known CSO2C-WS codes. Error performance simulation results are also provided. The construction method for CSO2C-WS has provided new codes with the shortest memory length having J ≤ 30.
Keywords
convolutional codes; iterative decoding; search problems; code generators; code memory length; computer search heuristic algorithms; convolutional codes; iterative decoding; iterative threshold decoding; wide-sense convolutional self-doubly orthogonal codes; Computational modeling; Computer errors; Convergence; Convolutional codes; Councils; Delay; Heuristic algorithms; Iterative algorithms; Iterative decoding;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2003. VTC 2003-Fall. 2003 IEEE 58th
ISSN
1090-3038
Print_ISBN
0-7803-7954-3
Type
conf
DOI
10.1109/VETECF.2003.1285028
Filename
1285028
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