DocumentCode
3330675
Title
QC-LDPC codes and their performance on Power Line Communications Channel
Author
Andreadou, Nikoleta ; Pavlidou, Fotini-Niovi
Author_Institution
Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki
fYear
2009
fDate
March 29 2009-April 1 2009
Firstpage
244
Lastpage
249
Abstract
In this paper Low Density Parity Check Codes (LDPC) are introduced in the Power Line Communications Channel (PLC). We investigate how different decoding algorithms, which are applied on LDPC codes, affect the system´s performance. Therefore, an iterative belief propagation decoding algorithm as well as a proposed variation of the original bit flipping algorithm are exploited. In addition, a hybrid technique combining these two algorithms is proposed. Irregular LDPC codes of various code rates are studied. Specifically, the cases of 1/2, 1/3, 2/3, 3/4 and 4/5 code rates are investigated. Regarding the irregular LDPC codes, they are constructed in a Quasi-Cyclic form. The system´s performance is expressed in terms of the resultant Bit Error Rate (BER) versus the Signal to Noise Ratio (SNR). In order to design the power line communications channel, Middleton´s class A noise model is used to account for the system´s background and impulsive noise, while Zimmermann´s channel model is also used. The OFDM transmission technique is taken into account. Results are derived via computer simulations.
Keywords
OFDM modulation; belief networks; carrier transmission on power lines; channel coding; cyclic codes; error statistics; impulse noise; iterative decoding; parity check codes; Middleton class A noise model; OFDM transmission technique; QC-LDPC codes; SNR; Zimmermann channel model; bit error rate; bit flipping algorithm; impulsive noise; iterative belief propagation decoding algorithm; low density parity check codes; power line communication channel; quasi cyclic form; Background noise; Bit error rate; Iterative algorithms; Iterative decoding; Parity check codes; Power line communications; Power system modeling; Programmable control; Signal to noise ratio; System performance; Low Density Parity Check (LDPC) codes; Power Line Communications (PLC); decoding algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Line Communications and Its Applications, 2009. ISPLC 2009. IEEE International Symposium on
Conference_Location
Dresden
Print_ISBN
978-1-4244-3790-0
Electronic_ISBN
978-1-4244-3792-4
Type
conf
DOI
10.1109/ISPLC.2009.4913437
Filename
4913437
Link To Document