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MIMO-Software Defined Radio based GPR System for Land Mine Detection

2019· article· en· W3016210978 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
TopicGeophysical Methods and Applications
Canadian institutionsConcordia University
Fundersnot available
KeywordsSoftwareSoftware-defined radioMIMOGround-penetrating radarComputer scienceWidebandElectronic engineeringAntenna (radio)ISM bandRadarEngineeringTelecommunicationsBeamforming

Abstract

fetched live from OpenAlex

In this paper, a multi-input multi-output (MIMO) coherent transmit and receive Ground Penetrating Radar (GPR) system, totally software-defined, is presented. all its Tx/Rx parameters can be controlled by the software along with signal processing capability of digitized signals. The system is capable of transmitting and receiving signals over the band of 450 MHz to 6 GHz. To cover this wide band range of frequencies, Three Log Periodic Directive Antennas (LPDA`s) ultra-wideband (UWB) antennas are designed, fabricated and tested. These antennas can be switched using microwave switches. A software-defined and computer-controlled 8-inputs and 32-outputs antenna switching matrix is realized using 1×4 microwave switches. The proposed system can be considered as a non-invasive sensor to detect and image underground targets for various applications that includes detection of land mines, tunnels, bunkers, utility pipes and exploration of natural resources like oil, gas, etc.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.713
Threshold uncertainty score0.257

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 head0.009
GPT teacher head0.214
Teacher spread0.205 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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