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Record W2100372364 · doi:10.1109/vetecs.2005.1543537

Power Spectral Density Characteristics of MCSK Based Impulse Radios in UWB Communications

2005· article· en· W2100372364 on OpenAlexaff
Serhat Erküçük, Dong In Kim

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUltra-Wideband Communications Technology
Canadian institutionsSimon Fraser University
FundersInha University
KeywordsTime-hoppingPulse-position modulationComputer sciencePulse-amplitude modulationUltra-widebandBit error rateSpectral densityElectronic engineeringTelecommunicationsModulation (music)Quadrature amplitude modulationDecoding methodsPulse (music)PhysicsEngineeringDetectorAcoustics

Abstract

fetched live from OpenAlex

This paper studies the power spectral density (PSD) characteristics of ultra wideband (UWB) signals modulated by M-ary code shift keying (MCSK)/binary pulse position modulation (BPPM) and MCSK/binary pulse amplitude modulation (BPAM), which we refer to as MCSK based impulse radios (IRs). MCSK/BPPM is a recently proposed UWB modulation format that can achieve a high data rate without affecting pulse shaping and further improve the bit-error-rate (BER) performance subject to the same signal energy per bit. The MCSK/BPPM increases the effective time hopping (TH) code period by randomly selecting a TH code from a set of M distinct codes per user. This selection smooths the continuous spectrum and suppresses the discrete spectral components, which is desired for real implementation. For a complete PSD evaluation of MCSK based IRs, also the PSD of MCSK/BPAM is studied. The analysis shows that MCSK/BPPM and MCSK/BPAM systems achieve improved PSD characteristics over the conventional TH-BPPM and TH-BPAM systems. Suggestions are also made to improve the PSD characteristics of conventional TH systems.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.433

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 science0.0010.000
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 head0.007
GPT teacher head0.217
Teacher spread0.210 · 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 designObservational
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

Citations5
Published2005
Admission routes1
Has abstractyes

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