SpaceOps 2006 Conference 2006
DOI: 10.2514/6.2006-5827
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Long Erasure Correcting Codes: The New Frontier for Zero Loss in Space Applications?

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Cited by 5 publications
(4 citation statements)
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“…If no feedback link is available there are methods like Long Erasure Codes [2] which can reduce the risk of loosing a frame with the penalty of a small overhead. However even simpler schemes can be employed such as sending all the frames twice i.e.…”
Section: Mission Risk and Robustnessmentioning
confidence: 99%
“…If no feedback link is available there are methods like Long Erasure Codes [2] which can reduce the risk of loosing a frame with the penalty of a small overhead. However even simpler schemes can be employed such as sending all the frames twice i.e.…”
Section: Mission Risk and Robustnessmentioning
confidence: 99%
“…Nowadays new coding opportunities are available for packet erasure recovery at the upper layers of space links thanks to recent advances in iterative decoding. Among them, LEC codes represent a promising solution [38]. Rather than referring to a specific coding technique, the name LEC codes identifies a heterogeneous ensemble of linear codes that share the following common features: long codeword lengths (up to thousands of packets); iterative decoding; code structure based on sparse graphs; complete flexibility in the choice of the packet length.…”
Section: The New Opportunity For Packet Erasure Correctionmentioning
confidence: 99%
“…Lossless compression is also considered a requirement in many remote sensing mission types [6]- [8]. In addition, the system must continue work even when part of the compressed data stream is lost, because automatic repeat/retransmission queries are not always possible, supported by the spacecraft systems, or feasible in terms of energy and computational resources [9]. Therefore, compression algorithms with high coding efficiency, which introduce dependencies between successive parts of the coded data [4], [5], [7], [8], [10], can make them unsuitable in these scenarios because these dependencies can prevent the decoder from reliably reconstructing the original data from the data stream after a single data loss event.…”
Section: Introductionmentioning
confidence: 99%