Title | ||
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Performance enhancement of power line communication systems with efficient low density parity-check codes, noise removal, equalization, and chaotic interleaving |
Abstract | ||
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Power Line Communication (PLC) offers a convenient and inexpensive medium for high-speed data transmission; however, this technology still faces difficult challenges. In particular, the Power Line (PL) channel suffers from multipath propagation accompanied with frequency-selective fading. This paper presents a method for constructing Low Density Parity-Check (LDPC) codes for Forward Error-Correction (FEC) on PL channel combined with Chaotic Interleaving (CI) and linear equalization to compensate for burst errors and multipath effects. First, the PL channel characteristics are introduced. A new way of noise modeling, which takes into account both background and impulse noises, is presented. Unlike Middleton@?s class A noise model, the proposed model is suitable for PLC channel. Noise bursts last no longer than 0.1 ms and they are characterized by Poisson distribution with an impulse arrival rate of 0= |
Year | DOI | Venue |
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2013 | 10.1016/j.dsp.2013.08.001 | Digital Signal Processing |
Keywords | Field | DocType |
plc channel,noise modeling,noise model,power line,power line communication,power line communication system,noise burst,chaotic interleaving,performance enhancement,impulse arrival rate,multipath effect,impulse noise,pl channel characteristic,noise removal,efficient low density parity-check,ldpc codes,plc,interleaving,equalization | Multipath propagation,Data transmission,Fading,Low-density parity-check code,Computer science,Real-time computing,Artificial intelligence,Impulse noise,Pattern recognition,Communication channel,Algorithm,Decoding methods,Interleaving | Journal |
Volume | Issue | ISSN |
23 | 6 | 1051-2004 |
Citations | PageRank | References |
4 | 0.40 | 22 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Seif Shebl | 1 | 4 | 0.40 |
Naglaa F. Soliman | 2 | 26 | 4.48 |
Nawal A. El-Fishawy | 3 | 43 | 6.68 |
Atef E. Abou-El-azm | 4 | 71 | 3.26 |
Saleh A. ALshebeili | 5 | 243 | 35.41 |
Fathi E. Abd El-Samie | 6 | 439 | 87.48 |