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Record W1899474476 · doi:10.1109/icc.1995.524231

Effect of system imperfections on BER performance of CDMA correlator receiver

2002· article· en· W1899474476 on OpenAlex
J. Panicker, S. Kumar

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 institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMultipath propagationFadingCode division multiple accessBit error rateElectronic engineeringRake receiverSpread spectrumComputer sciencePower controlDelay spreadTransmission (telecommunications)Phase (matter)Power (physics)AlgorithmTelecommunicationsEngineeringPhysicsDecoding methodsChannel (broadcasting)

Abstract

fetched live from OpenAlex

Direct sequence spread spectrum CDMA systems is receiving considerable attention in the field of mobile communication. The bit error rate performance of a code division multiple access correlator type receiver with imperfections in power control, carrier phase estimate and spreading code phase estimate is analyzed. Imperfection in power control is taken into account by modeling the received signal power as a log normally distributed random variable. The phase estimate errors are modeled as zero mean Gaussian random variables. It is shown that the performance of such a receiver significantly degrades when variance of power control imperfection is above 0 dB, standard deviation of the code phase error is above 0.01 and mean square error of carrier phase estimate is above 0.01. The communication system considered is a microcellular system operating in an indoor environment where K transmission stations are asynchronously transmitting over their individual multipath fading channels to the base station receiver.

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)0.001
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: Empirical
Teacher disagreement score0.922
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.013
GPT teacher head0.245
Teacher spread0.232 · 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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