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Record W7098831030

I. ABSTRACT A Commercial 155MBitls SOH Satellite Modem Compatible with Existing 72 MHz Satellite Transponders

2008· article· en· W7098831030 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSesquiterpenes and Asteraceae Studies
Canadian institutionsnot available
Fundersnot available
KeywordsViterbi decoderInterleavingTrellis (graph)Phase-shift keyingCommunications satelliteViterbi algorithmSatelliteChannel (broadcasting)Convolutional code
DOInot available

Abstract

fetched live from OpenAlex

This paper presents the world's first commercial 155 MBit/s 8-PSK satellite modem compatible with existing 72 MHz satellite transponders. Applications include fiber restoration; bringing B-ISON to remote or temporary sites; SOH broadcasting. The design relies on an advanced coding/modulation scheme and state-of-the-art signal processing to achieve excellent power/bandwidth performance and robust synchronisation. The IF-loop back BER1F is 10-10 @ Eb/No = 7.95 dB, corresponding to a modem implementation loss of only 0.4 dB. The error-correction scheme consists of a rate 8/9 six-dimensional trellis code with 64 states, plus a rate 235/255 Reed-Solomon outer code. Both classical symbol interleaving and a novel bit error despreader are used to match inner and outer code. The soft-decision trellis decoder is built around a single standard CMOS Viterbi decoder chip. A new 8PSK carrier synchronisation algorithm achieves the Cramer-Rao performance bound at SNR near the coding threshold. The RF performance over non-linear satellite channels has been assessed with an INTELSAT VI Satellite Simulator, and during field tests between UK and Canada over an INTELSAT-VA. These tests demonstrate that the modem is robust in the presence of channel impairments. In particular it was shown that standard line-up procedures are adequate, and no special channel equalisation is needed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.496
Threshold uncertainty score0.934

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.271
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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