Telecommand Rejection Probability for CCSDS-compliant LDPC-Coded Transmissions with Tail Sequence
<|reference_start|>Telecommand Rejection Probability for CCSDS-compliant LDPC-Coded Transmissions with Tail Sequence: According to the Consultative Committee for Space Data Systems (CCSDS) recommendation for TeleCommand (TC) synchronization and coding, the Communications Link Transmission Unit (CLTU) consists of a start sequence, followed by coded data, and a tail sequence, which might be optional depending on the employed coding scheme. With regard to the latter, these transmissions traditionally use a modified Bose-Chaudhuri-Hocquenghem (BCH) code, to which two state-of-the-art Low-Density Parity-Check (LDPC) codes were later added. As a lightweight technique to detect the presence of the tail sequence, an approach based on decoding failure has traditionally been used, choosing a non-correctable string as the tail sequence. This works very well with the BCH code, for which bounded-distance decoders are employed. When the same approach is employed with LDPC codes, it is necessary to design the tail sequence as a non-correctable string for the case of iterative decoders based on belief propagation. Moreover, the tail sequence might be corrupted by noise, potentially converting it into a correctable pattern. It is therefore important that the tail sequence is chosen to be as much distant as possible, according to some metric, from any legitimate codeword. In this paper we study such problem, and analyze the TC rejection probability both theoretically and through simulations. Such a performance figure, being the rate at which the CLTU is discarded, should clearly be minimized. Our analysis is performed considering many different choices of the system parameters (e.g., length of the CLTU, decoding algorithm, maximum number of decoding iterations).<|reference_end|>
@article{giuliani2024telecommand,
    title={Telecommand Rejection Probability for CCSDS-compliant LDPC-Coded
  Transmissions with Tail Sequence},
    author={Rebecca Giuliani, Massimo Battaglioni, Marco Baldi, Franco Chiaraluce,
  and Nicola Maturo},
    journal={arXiv preprint arXiv:2407.16258},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.16258},
    primaryClass={cs.IT math.IT}
}