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Record W1579334745 · doi:10.1109/iciafs.2014.7069579

Enhanced WiMAX SAR system equipped with multiple modes

2014· article· en· W1579334745 on OpenAlexaff
Kai Liu, Xianbin Wang, Jagath Samarabandu, Auon Muhammad Akhtar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced SAR Imaging Techniques
Canadian institutionsWestern University
Fundersnot available
KeywordsWiMAXComputer scienceSynthetic aperture radarTransceiverMode (computer interface)Real-time computingRadar imagingElectronic engineeringScheme (mathematics)Remote sensingRadarTelecommunicationsComputer visionWirelessEngineeringGeology

Abstract

fetched live from OpenAlex

Widespread use of WiMAX systems has lowered the cost of radio units significantly. We previously proposed a low cost single-mode Synthetic Aperture Radar (SAR) system which took advantage of these low-cost WiMAX transceiver units. However, the imaging swath of this system was limited due to the short length of the cyclic prefix (CP) of WiMAX. In this paper, we propose a multi-mode WiMAX SAR to overcome this limitation. Specifically, we first put forward a design of scan-mode WiMAX SAR, which significantly expands the slant range swath for surveillance and imaging applications. Subsequently, spotlight and squint-mode WiMAX SAR are also proposed to enhance imaging quality. Finally, a windowing scheme on reference data at the receiver is proposed to reduce ghost images in the direction of range. The validity of proposed design is confirmed through detailed simulation results.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.758
Threshold uncertainty score0.502

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 head0.006
GPT teacher head0.204
Teacher spread0.198 · 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 designBench or experimental
Domainnot available
GenreMethods

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

Citations1
Published2014
Admission routes1
Has abstractyes

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