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Weapon Engagement Zone Ranges Prediciton in BVR Air Combat
- Citation Author(s):
- Submitted by:
- Andre Kuroswiski
- Last updated:
- Fri, 11/29/2024 - 16:01
- DOI:
- 10.21227/2nm5-x807
- Data Format:
- Research Article Link:
- License:
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Abstract
This dataset was generated using high-fidelity air combat simulations to develop and evaluate Weapon Engagement Zone (WEZ) prediction models. It contains data for various Beyond Visual Range (BVR) air combat scenarios, capturing diverse conditions and configurations between a shooter aircraft and a target.
The dataset is split into factorial and random design datasets, with outputs representing critical WEZ parameters, including the maximum range (Rmax) and the no-escape zone (Rnez).
All data is generated from open models that allow public availability with no restrictions.
Instructions:
The dataset contains four CSV files, where each row represents a simulation case with specific launch conditions and calculated weapon ranges as described below.
Inputs:
- Case: Unique identifier for each scenario.
- BL_Speed: Shooter ground speed (knots).
- RD_Speed: Target ground speed (knots).
- rad: Relative bearing (degrees).
- BL_Hdg: Shooter heading (degrees).
- RD_Hdg: Target heading (degrees).
- BL_Alt: Shooter altitude (feet).
- RD_Alt: Target altitude (feet).
Outputs:
- Rmax: Maximum distance at which a missile can successfully engage the target.
- Rnez: Range within which the target cannot evade the missile.
1. FactorialExperiment.csv
- Description: 864 cases generated using a factorial design for feature analysis.
- Output:
RMax
2. RandomExperiment_1000_NEZ.csv
- Description: 1,000 cases for the Rnez.
- Outputs:
RNez
3. RandomExperiment_1000_RMAX.csv
- Description: 1,000 cases for the Rmax.
- Outputs:
RMax
4. RandomExperiment_1000_WEZ.csv
- Description: Combines Rmax and Rnez into a single dataset.
- Outputs:
RMax and
RNez
Dataset Files
- FactorialExperiment.csv (48.55 kB)
- RandomExperiment_1000_NEZ.csv (51.20 kB)
- RandomExperiment_1000_RMAX.csv (52.60 kB)
- RandomExperiment_1000_WEZ.csv (74.69 kB)
- WEZ_Model_Generation.py (27.16 kB)