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Abstract
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Article Information:
VHDL Modelling of Reed Solomon Decoder
Zi-Yi Lam, Wai-Leong Pang, Chee-Pun Ooi, Sew-Kin Wong and Kah-Yoong Chan
Corresponding Author: Pang Wai Leong
Submitted: April 20, 2012
Accepted: May 13, 2012
Published: December 01, 2012 |
Abstract:
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In digital communication systems, both random and burst errors may occur in the transmission
channel. As a result, the signal will be distorted at the receiver. Error correction coding is required to eliminate
such errors. In this study, a Reed Solomon (255, 191) error correction code is modelled to detect and correct
the data transmitted in a noisy channel. Reed Solomon (RS) codec is a powerful error correction tool that is
used to ensure the errors correction in digital communication systems. However, RS codec is computionally
intensive and custom design is required for different digital systems. RS decoder modeling using Very High
speed hardware Description Language (VHDL) made it suitable to be implemented on a Field Programmable
logic Array (FPGA) based copocessor. The flexibility of FPGA in hardware reconfiguration greatly reduces
the development time for RS decoder in all kinds of specialized circuit designs. The arithmetic operations which
are used in RS code were Galois Fields (GF) addition and multiplication. This study presented: i) RS encoder
modelled using MATLAB with data encoded in the noisy channel for functional verification. ii) RS decoder
modelled in Very High speed hardware Description Language (VHDL) to recover the erroneous data. RS
decoder has been successfully simplified to only four sub-modules in order to reduce the FPGA’s resources
utilization. The VHDL modelled RS (255, 191) decoder has the capability of 32 symbol-errors detection and
correction. It can be added into the VHDL designer library for future system designs.
Key words: Error correction code, FPGA, signal interference, , , ,
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Cite this Reference:
Zi-Yi Lam, Wai-Leong Pang, Chee-Pun Ooi, Sew-Kin Wong and Kah-Yoong Chan, . VHDL Modelling of Reed Solomon Decoder. Research Journal of Applied Sciences, Engineering and Technology, (23): 5193-5200.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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