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Wireless telemetry communication systems may be vulnerable to eavesdroppers due to their broad- casting nature, which is a risk to confidential information transmission. This paper explores the feasibility of low-density parity-check (LDPC) codes for wiretap coding over a Gaussian channel for standard telemetry links. By introducing a wiretap LDPC coding method, we aim to mitigate the risk of eavesdropping. We further explore the notion of fine-tuning the trade-off in these codes between secrecy and reliability through artificial noise injection. Simulation results demonstrate the effectiveness of employing an LDPC-based wiretap code over telemetry links to provide se- crecy. The analysis of the code shows that a neural network-based mutual information estimator can be utilized to calculate information leakage over telemetry links.
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This content will become publicly available on December 1, 2025
Rate-Compatible, Bandwidth-Efficient, Low-Density Parity-Check (LDPC) Codes for Aeronautical Telemetry
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.
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- PAR ID:
- 10568537
- Publisher / Repository:
- MDPI
- Date Published:
- Journal Name:
- Entropy
- Volume:
- 26
- Issue:
- 12
- ISSN:
- 1099-4300
- Page Range / eLocation ID:
- 1045
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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