Data · dataset · 2026
Measured Validation Dataset for Credibility Calibration of Multi-Fidelity Radar Plot Data in Equipment Digital Twins (171 Target-CPI Raw Echoes, Flight-Log Truth, and Derived Calibration Products)
Listed in ScienceDB
This dataset supports the real-data validation (Section 5.11) of the paper "Credibility Calibration of Multi-Fidelity Plot Data Quality for Radar Equipment Digital Twins".
Description
Data were collected in an anti-UAV field trial with a Ku-band pulse-Doppler radar (16.3 GHz carrier, 12.5 MHz sampling, 12 MHz waveform bandwidth, 64-pulse coherent integration), observing a cooperative target (DJI Air 3S) on a radial flight segment (azimuth ~142.5° north-referenced, elevation 2°–6°, range 0.5–2.2 km).
The dataset contains: (1) raw echo files of 171 target-beam-position CPIs (204,800 bytes each: a 768-byte header plus 64-pulse IQ samples), which constitute the complete raw dependency of the paper's measured results; (2) 10 Hz flight-log truth (latitude/longitude/altitude/velocity), with 21 CPIs truth-aligned to reference plots from the full 64-pulse trusted processing chain, forming real high-fidelity anchors; (3) derived calibration products, including unified plot-quality rows for five sources (full signal-level chain, effect-equivalent probabilistic chain, analytic radar-equation model, and two reduced-integration chains), the five-source calibration summary, theoretical-source parameter calibration, a cross-mechanism consistency report, and a K=100 seed-stability sweep; and (4) preregistration documents (main experiment plan, measured-experiment requirements and instantiation mapping, and nine preregistered expectation checks).
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The full all-beam-position raw corpus (85,494 CPIs, ~234 GB) is available upon reasonable request subject to approval. Companion code and simulation data are archived in a Gitee repository (gitee.com/jiangsu-yunhefeng-intelligent_0/digital-twins-hf-mf-lf). The dataset supports reproduction and benchmarking of radar plot data quality assessment, multi-fidelity data calibration, and data-entry-layer quality management for equipment digital twins.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.012h5 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Electronics, sensors and digital hardware 68% · Simulation 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.012h5 | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4009 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (68%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |