Open AccessHard Decision Decoding Performance Improved Using Turbo Product Codes
Author(s) -
Ch.Ravi Kumar,
Kishore Padmaraju
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.12.16030
Subject(s) - decoding methods , sequential decoding , computer science , turbo code , list decoding , serial concatenated convolutional codes , product (mathematics) , algorithm , concatenated error correction code , reliability (semiconductor) , theoretical computer science , mathematics , block code , power (physics) , geometry , physics , quantum mechanics
The performance of soft decision decoding, whose for which the design is complex, is superior to the performance of hard decision decoding. In this paper, we propose a turbo product code with a bit flip algorithm to improve the performance of hard decision decoding. The performance of hard decision decoding is improved with low complexity using multidimensional turbo product codes. The reliability of decoding in a communication system to detect and correct errors is discussed .Maximum a posterior probability (MAP) decoding is employed to improve the hard decision performance of turbo product codes with multiple dimensions. Our results include comparisons of multiple dimensions—2D, 3D, 4D, and 5D—and the number of iterations in soft and hard decision decoding.