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Record W2359862323

Design of TURBO Coded OFDM System for Underwater Acoustic Channel

2009· article· en· W2359862323 on OpenAlexvenueno aff
Min Zhu

Bibliographic record

VenueMicrocomputer applications · 2009
Typearticle
Languageen
FieldEngineering
TopicUnderwater Vehicles and Communication Systems
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceTurbo codeChannel (broadcasting)UnderwaterUnderwater acoustic communicationOrthogonal frequency-division multiplexingLow-density parity-check codeBlock (permutation group theory)Code (set theory)Code rateRange (aeronautics)Bit error rateTurboTurbo equalizerTelecommunicationsReal-time computingDecoding methodsError floorGeology
DOInot available

Abstract

fetched live from OpenAlex

An OFDM acoustic communication system is proposed.The system uses Turbo code as channel code,comb and block pilot pattern for channel estimating.Because of the severe frequency selective decline caused by multiple paths,continuous bit errors can't be completely avoided.A powerful channel code is needed.The good performance of Turbo code under low SNR makes it a good choice for the poor channel condition of shallow water.Theoretical analysis,computer simulation and a sea trial have been finished.The system achieved a 2.8kbit/s effective data rate at distances u Pto 2km,which proved the design can be used for middle/short range acoustic communication in shallow sea.

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: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.836
Threshold uncertainty score0.560

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 head0.020
GPT teacher head0.222
Teacher spread0.202 · 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
GenreMethods

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
Published2009
Admission routes1
Has abstractyes

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