matlab-simulate-radar-detections

What it does

Build detection-level radar simulations using radarDataGenerator within radarScenario. This skill bridges user hardware specs and performance requirements to the Radar Toolbox statistical simulation API.

How it works

Follows a structured 9-step interactive workflow:

• Step 1: Recommend statistical-level simulation with radarDataGenerator inside radarScenario; mention alternatives if I/Q fidelity is needed.
• Step 2: Confirm use case, including scan type, coordinate frame, configuration, and propagation environment; offer atmosphere models via atmosphere(scenario, model) as applicable.
• Step 3: Determine sourcing direction (top-down, bottom-up, mixed) and branch accordingly using datasheet ingestion in references/coupled-parameters.md when applicable.
• Step 4–9: Execute target-set design steps, presenting reference performance, coupled-parameter tables, geometry, sanity checks with horizon and Pd estimates, terrain/occlusion options, simulation duration, and finally produce a requirements sheet via the template at references/requirements-sheet-template.md.
• Key functions listed include: radarScenario, radarDataGenerator, platform, waypointTrajectory, kinematicTrajectory, geoTrajectory, radareqrng, radareqpow, radareqsnr, detectability, horizonrange, and others.

When to use it

Use when you have radar hardware specs or performance requirements and want to build a statistical detection simulation for moving targets, compare scan strategies, perform Monte Carlo analyses, or validate against analytical predictions. Use when you need to feed detections into a tracker or perform sensor fusion, and when you want to validate against a link-budget prediction.

What it can touch

The workflow relies on a suite of functions in the Radar Toolbox, including:

• radarScenario and radarDataGenerator for the core simulation container and sensor model
• trajectory tools: platform, waypointTrajectory, kinematicTrajectory, geoTrajectory
• detection and SNR utilities: detect, detectability, radareqrng, radareqpow, radareqsnr
• environmental and geometry helpers: atmosphere, horizonrange, terrain/occlusion tools such as landSurface, occlusion, HasOcclusion, etc.

Caveats

License: license is declared as NOASSERTION. The skill notes defaults like FreeSpace propagation and the need to choose appropriate atmosphere models; signal-level fidelity is outside scope (CFAR/beams). If a mismatch occurs in Pd at reference range, the flow instructs diagnosing and flagging, not guaranteeing outcomes. Source references include external markdown documents for steps and tables, but the agent should not assume any implicit outputs beyond what is stated in the workflow.