DocumentCode :
261204
Title :
Implementation of a low power LDPC decoder using bit serial architecture
Author :
Revathy, M. ; Saravanan, R.
Author_Institution :
Dept. of ECE, PSNA Coll. of Eng. & Tech., Dindigul, India
fYear :
2014
fDate :
27-28 Feb. 2014
Firstpage :
1
Lastpage :
4
Abstract :
A bit serial architecture is used which reduces the interconnect complexity in fully parallel low density parity check (LDPC) decoder. This can achieve better error correcting performance when the code length is moderate. By using a new approximation to the check update function in the Minsum decoding algorithm, the implementation is simplified. This new check update rule finds only the absolute minimum magnitude of the incoming message and if required correction is made to the outgoing messages. The proposed decoder is designed using Verilog HDL, simulated using MODELSEVI 5.7g, synthesized by Xilinx 9.2i and implemented using Spartan 3E. The result shows that the proposed architecture requires fewer slices and LUT´s when compared with the existing methods.
Keywords :
approximation theory; decoding; error correction codes; hardware description languages; parity check codes; telecommunication computing; LUT; MODELSIM 5.7g; Verilog HDL; Xilinx 9.2i; absolute minimum magnitude; approximation theory; bit serial architecture; check update function rule; code length; error correcting performance; fully parallel low density parity check decoder; incoming message; interconnect complexity reduction; look up tables; low power LDPC decoder implementation; min-sum decoding algorithm; outgoing messages; spartan 3E; Approximation methods; Complexity theory; Computer architecture; Decoding; Educational institutions; Hardware; Parity check codes; Bit serial architecture; Check update function); LDPC (Low density parity check) code; Minsum (MS) algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3835-3
Type :
conf
DOI :
10.1109/ICICES.2014.7034089
Filename :
7034089
Link To Document :
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