Blind Identification of Block Interleaved Convolution Code Parameters | Zendy

Jimmy B. Tamakuwala | Zendy

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Blind Identification of Block Interleaved Convolution Code Parameters

Author(s) -

Jimmy B. Tamakuwala

Publication year - 2019

Publication title -

defence science journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.198

H-Index - 32

eISSN - 0976-464X

pISSN - 0011-748X

DOI - 10.14429/dsj.69.13370

Subject(s) - code word , algorithm , interleaving , computer science , block (permutation group theory) , code (set theory) , identification (biology) , convolution (computer science) , channel (broadcasting) , context (archaeology) , code rate , theoretical computer science , mathematics , decoding methods , telecommunications , artificial intelligence , geometry , botany , set (abstract data type) , artificial neural network , biology , programming language , paleontology , operating system

Most of the digital communication system uses forward error correction (FEC) in addition with interleaver to achieve reliable communication over a noisy channel. To get useful information from intercepted data, in noncooperative context, it is necessary to have algoritihms for blind identification of FEC code and interleaver parameters. In this paper, a matrix rank-based algebraic algorithm for the joint and blind identification of block interleaved convolution code parameters for cases, where interleaving length is not necessarily an integer multiple of codeword length is presented. From simulations, it is observed that the code rate and block interleaver length are identified correctly with probability of detection equal to 1 for bit error rate values of less than or equal to 10-4.

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