DocumentCode
704663
Title
RS-LDPC product code for high SNR applications
Author
Shah, Dhaval ; Padia, Yesha ; Jadawala, Himanshi
Author_Institution
Electron. & Commun. Dept., Nirma Univ., Ahmedabad, India
fYear
2015
fDate
19-20 Feb. 2015
Firstpage
280
Lastpage
284
Abstract
Product code is a promising technique for low as well as high SNR applications due to its superior error correction performance. Indoor video broadcasting is an application where distance between transmitter and receiver is less, hence the received SNR is high. For such an application and similar applications tolerant to high BER, in this paper, we propose a Low Density Parity Check-Reed Solomon (LDPC-RS) product code structure using Bit Flipping algorithm for decoding of LDPC code. For LDPC decoding, bit flipping is preferred over log SPA (Sum Product Algorithm) as it offers lesser hardware and computational complexity. Simulation results for our product code show great error performance in high SNR regions.
Keywords
Reed-Solomon codes; computational complexity; decoding; digital video broadcasting; parity check codes; product codes; radio receivers; radio transmitters; LDPC decoding; RS-LDPC product code; bit flipping algorithm; error correction performance; high BER; high SNR applications; indoor video broadcasting receiver; indoor video broadcasting transmitter; lesser computational complexity; lesser hardware complexity; log SPA decoding; log sum product algorithm; low density parity check-Reed Solomon product code; Complexity theory; Decoding; Encoding; Parity check codes; Product codes; Signal processing algorithms; Signal to noise ratio; LDPC; RS; bit flipping algorithm; hard decision decoding; log-SPA decoding; product codes; soft decision decoding;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Integrated Networks (SPIN), 2015 2nd International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-5990-7
Type
conf
DOI
10.1109/SPIN.2015.7095330
Filename
7095330
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