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Record W2024334229 · doi:10.1109/mwscas.2014.6908545

6-GHz all-pass-filter-based delay-and-sum beamformer in 130nm CMOS

2014· article· en· W2024334229 on OpenAlex

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
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTrue time delayCMOSElectronic engineeringBeamformingFilter (signal processing)BroadbandBand-pass filterComputer scienceGroup delay and phase delayElectrical engineeringAcousticsEngineeringTelecommunicationsPhysicsAntenna (radio)Phased array

Abstract

fetched live from OpenAlex

A broadband RF delay-and-sum (DAS) beamformer, which employs wide-band CMOS all-pass filters for achieving the desired time delays, is discussed in this work. The use of all-pass filters eliminates the need of I/Q mixers and transmission line-based delay stages used in the previously reported DAS beamformers. The proposed all-pass filter can achieve approximately linear-phase delay across GHz-range of frequencies, which is amendable for wide-band beamforming. The delay-and-sum section of the beamformer was designed and simulated for an array of 4 antennas, with the desired signal direction of arrival of 11° from broadside direction. The performance of the wide-band DAS beamformer is obtained with simulations in IBM 130-nm CMOS technology. Moreover, experimental results for the main building block of the circuit, the voltage-mode all-pass filter with the nominal 33 ps delay, are given to strengthen the feasibility of physical implementation of such a beamformer.

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: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.939

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 head0.014
GPT teacher head0.207
Teacher spread0.194 · 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

Citations19
Published2014
Admission routes1
Has abstractyes

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