What problem does it solve?
Bridging radar hardware specifications or performance requirements to MATLAB's statistical detection simulation API is error-prone: agents hallucinate property names, mix up dB and linear units, misconfigure scan rates, and silently produce zero detections. This Skill guides an interactive, validated workflow for building radar detection scenarios with radarDataGenerator inside radarScenario.
Core Features & Use Cases
- Interactive 9-step workflow: Walks from use-case confirmation through parameter sourcing (top-down, bottom-up, or datasheet ingestion), target set design, terrain/occlusion, and a traceable requirements sheet.
- Link budget bridging: Derives ReferenceRange from hardware specs using radareqrng, detectability decomposition, and Swerling-aware Pd prediction, with self-consistency validation against RadarLoopGain.
- Scan mode and coordinate expertise: Correct handling of mechanical/electronic scan rates, NED/ENU/ECEF frames, DetectionCoordinates conversion, and common pitfalls like default 1 Hz UpdateRate and RangeLimits gating.
- Use Case: A user provides a surveillance radar datasheet and asks for a Monte Carlo detection study on UAV and fighter targets; the Skill extracts parameters, closes the link budget, configures the scenario, and validates simulated Pd against analytical predictions.
Quick Start
Ask the agent to build a radarDataGenerator simulation of a ground-based surveillance radar scanning a sector for airborne targets, starting from your hardware specs or range requirement.