2014 International Conference on High Performance Computing and Applications (ICHPCA) 2014
DOI: 10.1109/ichpca.2014.7045373
|View full text |Cite
|
Sign up to set email alerts
|

A reconfigurable viterbi decoder for SDR and mobile communications

Abstract: Data rate grows monotonously in every new gen eration of wireless communication system and so does the error rate while transmitting through wireless channels. Hence channel coding, error detection and correction play a major role in overall system performance. Unlike Blockcodes, Convolutional code (CC) offers high error resiliance capacity by increasing their constraint length, instead of increasing the code redundancy. Viterbi de coders have been widely used as the decoder for convolutional codes. In this pa… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 11 publications
0
1
0
Order By: Relevance
“…A Viterbi decoder convolution code using code rates 1/2, 1/3, 2 /3, 3/4, 5/6, with a constraint length of 3 to 9, and blocks of arbitrary length, has been designed. The proposed decoder has been designed and synthesized using ISE software and implemented using Xilinx XCV330T devices (Pradhan and Nandy, 2014). Prakash and Balamurugan (2015) proposed a 16-PSK by using a convolutional code Viterbi decoder for high-speed data.…”
Section: Introductionmentioning
confidence: 99%
“…A Viterbi decoder convolution code using code rates 1/2, 1/3, 2 /3, 3/4, 5/6, with a constraint length of 3 to 9, and blocks of arbitrary length, has been designed. The proposed decoder has been designed and synthesized using ISE software and implemented using Xilinx XCV330T devices (Pradhan and Nandy, 2014). Prakash and Balamurugan (2015) proposed a 16-PSK by using a convolutional code Viterbi decoder for high-speed data.…”
Section: Introductionmentioning
confidence: 99%