DocumentCode
1850229
Title
A method for blind identification of rate 1/2 convolutional code based on improved Euclidean algorithm
Author
Xie Hui ; Chai Xian-ming ; Wang Feng-hua ; Huang Zhi-tao
Author_Institution
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Volume
2
fYear
2012
fDate
21-25 Oct. 2012
Firstpage
1307
Lastpage
1310
Abstract
In order to adapt the characteristic that the intercepted code sequence is not complete, the polynomial model in [6] has been amended. Based on the model, a scheme is proposed to improve the capability of classical Euclidean algorithm, and a new method for blind identification of rate 1/2 convolutional code is proposed. The validity of algorithm is verified by the simulation results, and it has less computational load compared to the references.
Keywords
convolutional codes; polynomials; blind identification; code sequence; convolutional code; improved Euclidean algorithm; polynomial model; Euclidean algorithm; blind identification of convolutional code; polynomial model;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location
Beijing
ISSN
2164-5221
Print_ISBN
978-1-4673-2196-9
Type
conf
DOI
10.1109/ICoSP.2012.6491816
Filename
6491816
Link To Document