CORRECTION OF DEPENDENT ERRORS BY THE TURBOcodec based ON ATTACHED evenly convolutional codes

Abstract

The organization methods of dependent (packet) error correction by the turbocodecs based both on a sub systematic convolutional codes with uniform threshold decoding algorithm and recursive systematic convolutional codes are considered. The effectiveness of the proposed methods for data coding by two- and three-components turbocodes is evaluated. It is found that turbocodecs, based on nested uniform and recursive convolutional codes, provide fold a decrease in 1,34 times of the transmitted information redundancy in comparison with the known principle turbocodes construction through recursive convolutional codes.

Keywords

• convolutional code
• check symbols
• the code rate
• threshold decoding
• generator polynomial