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Record W2110816804 · doi:10.1109/icc.1995.524480

Acquisition using differentially encoded Barker sequence in DS/SS packet radio

2002· article· en· W2110816804 on OpenAlex
D. Yan, P. Ho

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsComputer scienceCode division multiple accessPacket radioPseudorandom noiseSynchronization (alternating current)Network packetFrame (networking)Additive white Gaussian noisePreambleMultipath propagationFadingFrame synchronizationSpread spectrumReal-time computingThroughputCode (set theory)Channel (broadcasting)AlgorithmComputer networkWirelessTelecommunications

Abstract

fetched live from OpenAlex

Code division multiple access (CDMA) has drawn great attention as a candidate for future packet radio systems because of its various advantages such as high capacity or multipath mitigation. To despread the received pseudonoise (PN) code in CDMA and thus understand the message sent, synchronization (acquisition and tracking) is necessary in priori. In fact, synchronization is a main factor in determining the throughput of the system. We propose a new acquisition procedure in a DS/SS CDMA packet radio system which is able to obtain frame and chip synchronization simultaneously, by using a differentially encoded Barker sequence as the preamble. We also introduce a two-step algorithm and a windowing technique which we found effective in overcoming the partial correlation problem. With simulation studies, we found that the new scheme outperforms other conventional schemes both under a frequency selective fading channel and an AWGN channel.

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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.941
Threshold uncertainty score0.587

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.101
GPT teacher head0.310
Teacher spread0.209 · 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

Quick stats

Citations7
Published2002
Admission routes1
Has abstractyes

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