Performance and Capacity Analysis of MDCSK-BICM for Impulsive Noise in PLC

To further mitigate the BER error floor of M-ary differential chaos shift keying (MDCSK) modulation for impulsive noise, a low-cost high-reliability coded modulation scheme without equalizations is desirable for impulsive noise. In this paper, a protograph-based low-density parity-check coded MDCSK-...

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Veröffentlicht in:IEEE transactions on power delivery 2022-08, Vol.37 (4), p.3164-3175
Hauptverfasser: Miao, Meiyuan, Wang, Lin, Chen, Guanrong
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description To further mitigate the BER error floor of M-ary differential chaos shift keying (MDCSK) modulation for impulsive noise, a low-cost high-reliability coded modulation scheme without equalizations is desirable for impulsive noise. In this paper, a protograph-based low-density parity-check coded MDCSK-based bit-interleaved coded modulation (MDCSK-BICM) scheme is proposed for the scenario with impulsive noise obeying Bernoulli-Laplace distribution. Considering the Gaussian distribution of protograph extrinsic information transfer (PEXIT) and the benchmark of coding design, the U-shaped non-coherent capacity is derived with optimal code rate for square MDCSK, showing that the code rates are stable with E_b/N_0 increasing but still much lower than that of DS-16DQAM at code rate >\!0.145. The derived joint probability density function can be considered as approximately a Gaussian distribution, which is used to improve the impulsive noise fitted PEXIT. Finally, a new code under a novel principle is designed for better bit error rate performance based on the improved PEXIT analysis. Both PEXIT analysis and simulation results demonstrate that the proposed scheme achieves a better BER than that with a traditional scheme, and suggesting a research approach based on simple methods. This basic research work provides a guide to establish a framework and optimize the performance of transmission systems over practical power line communication.
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In this paper, a protograph-based low-density parity-check coded MDCSK-based bit-interleaved coded modulation (MDCSK-BICM) scheme is proposed for the scenario with impulsive noise obeying Bernoulli-Laplace distribution. Considering the Gaussian distribution of protograph extrinsic information transfer (PEXIT) and the benchmark of coding design, the U-shaped non-coherent capacity is derived with optimal code rate for square MDCSK, showing that the code rates are stable with <inline-formula><tex-math notation="LaTeX">E_b/N_0</tex-math></inline-formula> increasing but still much lower than that of DS-16DQAM at code rate <inline-formula><tex-math notation="LaTeX">>\!0.145</tex-math></inline-formula>. The derived joint probability density function can be considered as approximately a Gaussian distribution, which is used to improve the impulsive noise fitted PEXIT. 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This basic research work provides a guide to establish a framework and optimize the performance of transmission systems over practical power line communication.]]></description><identifier>ISSN: 0885-8977</identifier><identifier>EISSN: 1937-4208</identifier><identifier>DOI: 10.1109/TPWRD.2021.3124561</identifier><identifier>CODEN: ITPDE5</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Bit error rate ; Channel estimation ; Codes ; Complexity theory ; Decoding ; Encoding ; impulsive noise ; Information transfer ; Keying ; MDCSK-BICM ; Modulation ; non-coherent capacity ; Normal distribution ; Optimization ; P-LDPC ; PLC ; Power lines ; Probability density function ; Probability density functions ; Statistical analysis</subject><ispartof>IEEE transactions on power delivery, 2022-08, Vol.37 (4), p.3164-3175</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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In this paper, a protograph-based low-density parity-check coded MDCSK-based bit-interleaved coded modulation (MDCSK-BICM) scheme is proposed for the scenario with impulsive noise obeying Bernoulli-Laplace distribution. Considering the Gaussian distribution of protograph extrinsic information transfer (PEXIT) and the benchmark of coding design, the U-shaped non-coherent capacity is derived with optimal code rate for square MDCSK, showing that the code rates are stable with <inline-formula><tex-math notation="LaTeX">E_b/N_0</tex-math></inline-formula> increasing but still much lower than that of DS-16DQAM at code rate <inline-formula><tex-math notation="LaTeX">>\!0.145</tex-math></inline-formula>. The derived joint probability density function can be considered as approximately a Gaussian distribution, which is used to improve the impulsive noise fitted PEXIT. 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This basic research work provides a guide to establish a framework and optimize the performance of transmission systems over practical power line communication.]]></description><subject>Bit error rate</subject><subject>Channel estimation</subject><subject>Codes</subject><subject>Complexity theory</subject><subject>Decoding</subject><subject>Encoding</subject><subject>impulsive noise</subject><subject>Information transfer</subject><subject>Keying</subject><subject>MDCSK-BICM</subject><subject>Modulation</subject><subject>non-coherent capacity</subject><subject>Normal distribution</subject><subject>Optimization</subject><subject>P-LDPC</subject><subject>PLC</subject><subject>Power lines</subject><subject>Probability density function</subject><subject>Probability density functions</subject><subject>Statistical analysis</subject><issn>0885-8977</issn><issn>1937-4208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEtPAjEURhujiYj-Ad00cT14-26XOPhAQYmSuGzKTCcpgZmxBRP-vYMQV3dzzs2Xg9A1gQEhYO7ms6-P0YACJQNGKBeSnKAeMUxlnII-RT3QWmTaKHWOLlJaAgAHAz30MvOxauLa1YXHri5x7lpXhM0OD2u32qWQcFPh6Sj_fM3ux_kUdzAer9vtKoUfj9-akDwONZ5N8kt0VrlV8lfH20fzx4d5_pxN3p_G-XCSFUySTSaMNqKowHktpKRMcFoW1BROceZIJRR46rTkTmnnqYJqoRZE8lJyQXhZsj66PbxtY_O99Wljl802dmOTpdJQTbjk0FH0QBWxSSn6yrYxrF3cWQJ2n8z-JbP7ZPaYrJNuDlLw3v8LRhjTLWe_hL9lLw</recordid><startdate>20220801</startdate><enddate>20220801</enddate><creator>Miao, Meiyuan</creator><creator>Wang, Lin</creator><creator>Chen, Guanrong</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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In this paper, a protograph-based low-density parity-check coded MDCSK-based bit-interleaved coded modulation (MDCSK-BICM) scheme is proposed for the scenario with impulsive noise obeying Bernoulli-Laplace distribution. Considering the Gaussian distribution of protograph extrinsic information transfer (PEXIT) and the benchmark of coding design, the U-shaped non-coherent capacity is derived with optimal code rate for square MDCSK, showing that the code rates are stable with <inline-formula><tex-math notation="LaTeX">E_b/N_0</tex-math></inline-formula> increasing but still much lower than that of DS-16DQAM at code rate <inline-formula><tex-math notation="LaTeX">>\!0.145</tex-math></inline-formula>. The derived joint probability density function can be considered as approximately a Gaussian distribution, which is used to improve the impulsive noise fitted PEXIT. Finally, a new code under a novel principle is designed for better bit error rate performance based on the improved PEXIT analysis. Both PEXIT analysis and simulation results demonstrate that the proposed scheme achieves a better BER than that with a traditional scheme, and suggesting a research approach based on simple methods. This basic research work provides a guide to establish a framework and optimize the performance of transmission systems over practical power line communication.]]></abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPWRD.2021.3124561</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-1381-7418</orcidid><orcidid>https://orcid.org/0000-0002-6698-129X</orcidid><orcidid>https://orcid.org/0000-0002-6252-9271</orcidid></addata></record>
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subjects Bit error rate
Channel estimation
Codes
Complexity theory
Decoding
Encoding
impulsive noise
Information transfer
Keying
MDCSK-BICM
Modulation
non-coherent capacity
Normal distribution
Optimization
P-LDPC
PLC
Power lines
Probability density function
Probability density functions
Statistical analysis
title Performance and Capacity Analysis of MDCSK-BICM for Impulsive Noise in PLC
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