DocumentCode :
2389321
Title :
Punctured recursive convolutional encoders and their applications in turbo codes
Author :
Shen, Ba-Zhong ; Patapoutian, Ara ; McEwen, Peter
Author_Institution :
Broadcom Corp., Irvine, CA, USA
fYear :
2000
fDate :
2000
Firstpage :
291
Abstract :
Puncturing is the predominant strategy to construct high code rate convolutional encoders, and infinite impulse response convolutional encoders are an essential building block in turbo codes. In this paper various properties of convolutional encoders with these characteristics are developed. In particular, the closed form representation of a punctured convolutional encoder and its generator matrix are constructed, necessary and sufficient conditions are given such that the punctured encoders retain the infinite impulse response property, and various lower bounds on distance properties, such as effective free distance, are developed. Finally, necessary and sufficient conditions are given on the inverse puncturing problem: representing a known convolutional encoder as a punctured encoder
Keywords :
convolutional codes; matrix algebra; transient response; turbo codes; IIR; closed form representation; distance properties; effective free distance; generator matrix; high code rate convolutional encoders; infinite impulse response convolutional encoders; inverse puncturing problem; lower bounds; necessary and sufficient conditions; punctured convolutional encoder; punctured recursive convolutional encoders; turbo codes; Convolutional codes; Feedback; Finite impulse response filter; Polynomials; Sufficient conditions; Turbo codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
0-7803-5857-0
Type :
conf
DOI :
10.1109/ISIT.2000.866589
Filename :
866589
Link To Document :
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