论文信息 - Blind Recognition Algorithm of Turbo Codes for Communication Intelligence Systems

Blind Recognition Algorithm of Turbo Codes for Communication Intelligence Systems

Turbo codes are widely used in land and space radio communication systems, and because of complexity of structure, are custom in military communication systems. In electronic warfare, COMINT systems make attempt to recognize codes by blind ways. In this Paper, the algorithm is proposed for blind recognition of turbo code parameters like code kind, code-word length, code rate, length of interleaver and delay blocks number of convolution code. The algorithm calculations volume is0.5L 3 +1.25L, therefore it is suitable for real time systems.

Ali Naseri | Omid Azmoon | Samad Fazeli

[1] Peter Sweeney,et al. Error Control Coding: From Theory to Practice , 2002 .

[2] T. Moon. Error Correction Coding: Mathematical Methods and Algorithms , 2005 .

[3] Johann Barbier. Analyse de canaux de communication dans un contexte non coopératif : application aux codes correcteurs d'erreurs et à la stéganalyse , 2007 .

[4] G. Burel,et al. Blind Estimation of Encoder and Interleaver Characteristics in a Non Cooperative Context , 2003 .

[5] D. Curtis Schleher,et al. Introduction to Electronic Warfare , 1986 .

[6] Shu Lin,et al. Error control coding : fundamentals and applications , 1983 .

[7] Sebastien Houcke,et al. Algebraic Approach for the Reconstruction of Linear and Convolutional Error Correcting Codes , 2008 .

[8] John Cocke,et al. Optimal decoding of linear codes for minimizing symbol error rate (Corresp.) , 1974, IEEE Trans. Inf. Theory.

[9] Kwok Hung Li,et al. Blind Detection of Interleaver Parameters for Non-Binary Coded Data Streams , 2009, 2009 IEEE International Conference on Communications.

[10] Antoine Valembois,et al. Detection and recognition of a binary linear code , 2001, Discret. Appl. Math..

[11] Sébastien Houcke,et al. Blind detection of interleaver parameters , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..