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
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;
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2196-9
DOI :
10.1109/ICoSP.2012.6491816
