Rate-Compatible, Bandwidth-Efficient, Low-Density Parity-Check (LDPC) Codes for Aeronautical Telemetry

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Опубліковано в::Entropy vol. 26, no. 12 (2024), p. 1045
Автор: Cummins, Andrew D
Інші автори: Mitchell, David G M, Perrins, Erik
Опубліковано:
MDPI AG
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100 1 |a Cummins, Andrew D  |u Klipsch School of Electrical and Computer Engineering, New Mexico State University, Las Cruces, NM 88003, USA; <email>dgmm@nmsu.edu</email> 
245 1 |a Rate-Compatible, Bandwidth-Efficient, Low-Density Parity-Check (LDPC) Codes for Aeronautical Telemetry 
260 |b MDPI AG  |c 2024 
513 |a Journal Article 
520 3 |a Low-density parity-check (LDPC) codes form part of the IRIG-106 standard and have been successfully deployed for the Telemetry Group version of shaped-offset quadrature phase shift keying (SOQPSK-TG) modulation. Recently, LDPC code solutions have been proposed and optimized for continuous phase modulations (CPMs), including pulse code modulation/frequency modulation (PCM/FM) and the multi-h CPM developed by the Advanced-Range TeleMetry program (ARTM CPM), the latter of which was shown to perform around one dB from channel capacity. In this paper, we consider the effect of the random puncturing and shortening of these LDPC codes to further improve spectrum efficiency. We perform asymptotic analyses of the ARTM0 code ensembles and present numerical simulation results that affirm the robust decoding performance promised by LDPC codes designed for ARTM CPM. 
653 |a Aeronautics 
653 |a Channel capacity 
653 |a Simulation 
653 |a Telemetry 
653 |a Decoding 
653 |a Error correction & detection 
653 |a Parity 
653 |a Low density parity check codes 
653 |a Pulse code modulation 
653 |a Design 
653 |a Quadrature phase shift keying 
653 |a Codes 
653 |a Frequency modulation 
653 |a Error correcting codes 
700 1 |a Mitchell, David G M  |u Klipsch School of Electrical and Computer Engineering, New Mexico State University, Las Cruces, NM 88003, USA; <email>dgmm@nmsu.edu</email> 
700 1 |a Perrins, Erik  |u Department of Electrical Engineering & Computer Science, University of Kansas, Lawrence, KS 66045, USA; <email>esp@ku.edu</email> 
773 0 |t Entropy  |g vol. 26, no. 12 (2024), p. 1045 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3149576448/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3149576448/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3149576448/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch