Journal of Advanced Defense Science & Technology

Journal of Advanced Defense Science & Technology

Blind Recognition of Punctured Turbo Convolutional Codes

Document Type : -

Authors
Hamidreza Kakaei Motlagh 1
hamidreza lashkarian 2
Majid Sheikh Mohammadi 3
1 Assistant Professor, Imam Hossein ,University, Tehran, Iran
2 Assistant Professor, Imam Hossein . University, Tehran, Iran
3 Associate Professor, Tarbiat Modares University, Tehran, Iran
Abstract
Turbo convolutional encoders are one of the newest types of channel encoders. A puncturing block is used to create the possibility of encoding at different rates by an encoder. The successful implementation of blind parameter recognition process of these encoders for extracting information from the received bit sequence is essential. Since the structure of this encoder is generally created by combining two convolutional encoders and a permutation, separating the output data of convolutional encoders in normal and punctured conditions can make it much easier to recognition the structure of the encoder. In this article, using the technique of partitioning orthogonal vector matrices, a method for classifying members of the turbo convolutional encoder code word into convolutional encoder outputs 1 and 2 has been presented. By running the proposed algorithm on the output of several different simulated encoders, it has been shown that this method is also executable in punctured conditions.
Keywords
Turbo Convolutional Codes
Blind Recognition of Channel Code
Orthogonal Matrix Recognition
Subjects
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Journal of Advanced Defense Science & Technology
Volume 15, Issue 1 - Serial Number 55
Spring
Spring 2025
Pages 57-65

  • Receive Date 16 March 2024
  • Revise Date 28 April 2024
  • Accept Date 01 May 2024
  • Publish Date 21 May 2024