State space parallelization method for a 16-Bit turbo encoder
Joint Authors
Fliah, Maha A.
al-Duri, Qusay F.
Source
Engineering and Technology Journal
Issue
Vol. 37, Issue 12A (31 Dec. 2019), pp.553-557, 5 p.
Publisher
Publication Date
2019-12-31
Country of Publication
Iraq
No. of Pages
5
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
Turbo codes are widely used in digital communication systems.
Their ability to reach the Shannon channel capacity made it the choice for most of the communication systems.
Due to the huge amount of the transmitted data, there is a need to increase the processing speed of the encoders.
The researchers used the state space technique to enhance the throughput of the turbo encoder.
They apply it to increase the turbo encoder throughput from one bit per cycle up to 8 bit per cycle.
The researchers applied the state space method to a three-flip flop, eight state Recursive Systematic Convolution Code circuit to achieve their goal.
In this paper, we explored the state space technique and applied it to a four flip-flop Recursive Systematic Convolution Code circuit so that we can achieve a throughput of 16 bit per cycle.
The circuit was designed and tested using MATLAB then implemented using FPGA to verify its operation.
American Psychological Association (APA)
Fliah, Maha A.& al-Duri, Qusay F.. 2019. State space parallelization method for a 16-Bit turbo encoder. Engineering and Technology Journal،Vol. 37, no. 12A, pp.553-557.
https://search.emarefa.net/detail/BIM-949886
Modern Language Association (MLA)
Fliah, Maha A.& al-Duri, Qusay F.. State space parallelization method for a 16-Bit turbo encoder. Engineering and Technology Journal Vol. 37, no. 12A (2019), pp.553-557.
https://search.emarefa.net/detail/BIM-949886
American Medical Association (AMA)
Fliah, Maha A.& al-Duri, Qusay F.. State space parallelization method for a 16-Bit turbo encoder. Engineering and Technology Journal. 2019. Vol. 37, no. 12A, pp.553-557.
https://search.emarefa.net/detail/BIM-949886
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 557
Record ID
BIM-949886