Matlab Design Radar
MathWorksOfficialCreated by MathWorks
- Skill
- Tool integration
- Science and research
- BSD-2-Clause
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AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides an interface to the MATLAB Radar Designer app, allowing users to design, configure, and analyze radar systems directly through an AI agent. It supports tasks such as setting radar parameters, managing design sessions, comparing different radar types, and performing range auto-tuning. The skill leverages a set of wrapper scripts to interact with the app, ensuring that all design requirements and performance metrics are handled according to standard engineering practices.
What it does
- Launches and manages Radar Designer app sessions.
- Configures radar, target, and environment parameters using SI units.
- Performs range auto-tuning to meet specific performance objectives.
- Compares multiple radar designs side-by-side.
- Exports analysis scripts and reports for further MATLAB processing.
- Validates design performance against defined requirements.
When to use it
- When designing or configuring a new radar system.
- When comparing the performance of different radar types or configurations.
- When analyzing how environmental factors like rain affect detection range.
- When you need to verify if a radar design meets specific range or accuracy requirements.
- When you need to export radar analysis scripts for further simulation.
Advantages
- Automates complex radar design workflows within the MATLAB environment.
- Ensures consistent parameter configuration using SI units.
- Provides structured performance reporting with pass/fail status.
- Simplifies multi-radar comparison and session management.
- Integrates directly with MATLAB's powerful analysis and export tools.
Usage examples
- “Design a tracking radar at 5 GHz with 2 MW peak power at 1500 km range for a 1 sq meter target.”
- The agent initializes the Radar Designer, configures the tracking radar template with the specified frequency, power, and target parameters, performs range auto-tuning, and reports the performance metrics.
- “Compare airport radar performance at 2.8 GHz vs 5.6 GHz for a 10 sq meter target at 150 km.”
- The agent sets up the airport radar, clones the configuration, adjusts the frequencies for each, runs the analysis, and presents a comparison table showing the performance metrics for both.
- “Set up a weather radar and show how heavy rain (16 mm/hr) degrades detection range.”
- The agent configures a weather radar template, sets the environment to 16 mm/hr rain, and provides a summary of how this impacts the system's detection capabilities.
- “Export a detectability analysis script for my current radar design.”
- The agent triggers the export command for the detectability analysis, which generates and opens the corresponding MATLAB script for the user.
Install
5 of its files are not mirrored here, so install it from its source:
https://github.com/matlab/matlab-agentic-toolkit/tree/2a7f215e965597acf6ed495beb9e7b8aff45a3be/skills-catalog/radar/matlab-design-radar
Documentation by MathWorks
Radar Designer MCP Control
Launch and control the MATLAB Radar Designer app programmatically via MCP. Use this skill when a user asks about radar design parameters, wants to configure a radar system, compare radar types, analyze radar performance, or visualize radar metrics interactively in the Radar Designer app.
On Entry
When this skill is first invoked without a specific user request, present the following example prompts to inspire the user:
Design a tracking radar at 5 GHz with 2 MW peak power at 1500 km range for a 1 sq meter target
Compare airport radar performance at 2.8 GHz vs 5.6 GHz — which can achieve 150 km range for a 10 sq meter target?
Set up a weather radar and show how heavy rain (16 mm/hr) degrades detection range
Configure an automotive radar at 77 GHz with electronic scanning for 100 meters range
Add a 200 km max range requirement to my current radar design and check if it meets the objective
Then wait for the user to type their own radar design question.
IMPORTANT
Never generate MATLAB scripts for the user that call the wrapper functions directly. These are for the agent's internal use only. When the user asks for a script, use only the built-in export commands via
radarDesignerExport.When greeting the user, simply ask about their radar design goals (type, frequency, power, requirements) without referencing the underlying mechanism.
When to Use
User asks to design, configure, or analyze a radar system
User wants to launch or open the Radar Designer app
User asks to change radar parameters (frequency, power, antenna, etc.)
User wants to compare different radar types (tracking, airport, airborne, etc.)
User asks about radar performance metrics (max range, SNR, detection probability, etc.)
User wants to load or save a radar design session (.mat file)
User asks about target or environment configuration for radar analysis
User wants to set requirements/objectives for a radar design
When NOT to Use
User asks about general MATLAB programming unrelated to radar design
User wants to use Radar Toolbox functions directly (without the Radar Designer app)
User asks about Simulink radar models or Phased Array System Toolbox without the app
User wants to create radar waveforms or signals outside the app context
User asks about radar theory or equations without wanting to use the app
Prerequisites
MATLAB MCP server must be running and connected
The
mcp__matlab__evaluate_matlab_codetool must be availableThe Radar Toolbox must be installed in the MATLAB instance
The skill's
scripts/directory must be on the MATLAB path (set viaproject_path)
Code Reference
Consult code-reference.md for detailed code patterns — including multi-radar comparison, session management, export, and range auto-tuning examples. The patterns below are summaries; code-reference.md is authoritative.
Wrapper Scripts
All Radar Designer operations go through 5 p-coded wrapper scripts in scripts/. Always set project_path to the skill's root directory when calling mcp__matlab__evaluate_matlab_code so the scripts are on the MATLAB path.
radarDesignerSession — App lifecycle and sessions
| Action | Call | Returns |
|---|---|---|
| Launch app | h = radarDesignerSession('launch') | App handle h |
| Reuse existing | h = radarDesignerSession('launch', h) | Same h if valid |
| Start new | radarDesignerSession('startNew', h, templateName) | — |
| Save session | radarDesignerSession('save', h, filePath) | — |
| Load session | radarDesignerSession('load', h, filePath) | — |
Templates: 'AirborneRadarSpec', 'AirportRadarSpec', 'AutomotiveRadarSpec', 'TrackingRadarSpec', 'WeatherRadarSpec'
radarDesignerParam — Get/set parameters and requirements
| Action | Call | Returns |
|---|---|---|
| Set parameter | radarDesignerParam(h, 'set', specType, propName, value) | — |
| Get parameter | val = radarDesignerParam(h, 'get', specType, propName) | Property value |
| Set requirement | radarDesignerParam(h, 'setRequirement', reqIndex, propName, value) | — |
specType: 'Radar', 'Target', 'Environment'
radarDesignerResults — Read results and auto-tune
| Action | Call | Returns |
|---|---|---|
| Read results | T = radarDesignerResults(h, 'read') | Table (16 metrics) |
| Auto-tune range | result = radarDesignerResults(h, 'autoTune', range_m) | Struct |
Results table columns: Metric, Units, Threshold, Objective, Result_<radarName>, Status_<radarName> (PASS/WARN/FAIL)
Auto-tune result fields: requestedRange_km, achievedRange_km, ratio, converged
radarDesignerMultiRadar — Multiple radar management
| Action | Call | Returns |
|---|---|---|
| Add template | radarDesignerMultiRadar(h, 'add', templateName) | — |
| Clone current | radarDesignerMultiRadar(h, 'clone') | — |
| Select by index | radarDesignerMultiRadar(h, 'select', index) | — |
| Delete current | radarDesignerMultiRadar(h, 'delete') | — |
| List names | names = radarDesignerMultiRadar(h, 'names') | Cell array |
Add templates: 'AirborneRadar', 'AirportRadar', 'AutomotiveRadar', 'TrackingRadar', 'WeatherRadar'
radarDesignerExport — Built-in export
The second argument must be an export type string — not a file path. Passing a file path (e.g.,
fullfile(...)) will error.
| App Menu Item | Call | Description |
|---|---|---|
| Export Detectability Analysis MATLAB Script | radarDesignerExport(h, 'detectability') | SNR vs Range, Pd vs Range, Environmental Losses, Link Budget |
| Export Vertical Coverage MATLAB Script | radarDesignerExport(h, 'coverage') | Vertical coverage plot |
| Generate Metrics Report | radarDesignerExport(h, 'report') | Formatted report of numeric metrics |
| Export Radar Data Generator MATLAB Script | radarDesignerExport(h, 'rdg') | Simulate radar detecting target in dynamic scenario (no refraction) |
| — Effective Earth Radius Model | radarDesignerExport(h, 'rdg', 'effectiveearth') | Requires non-free-space, curved Earth, std/low/mid/high latitude atmosphere |
| — CRPL Exponential Reference Model | radarDesignerExport(h, 'rdg', 'crpl') | Same environment requirements as Effective Earth |
Workflow
Step 1: Launch the App
h = radarDesignerSession('launch');Always check if h already exists:
if ~exist('h','var') || ~isvalid(h)
h = radarDesignerSession('launch');
endStep 2: Select a Radar Template
radarDesignerSession('startNew', h, 'TrackingRadarSpec');Step 3: Set Parameters
radarDesignerParam(h, 'set', 'Radar', 'Frequency', 5e9); % 5 GHz
radarDesignerParam(h, 'set', 'Radar', 'PeakPower', 2e6); % 2 MW
radarDesignerParam(h, 'set', 'Target', 'RCS', 1); % 1 m²
radarDesignerParam(h, 'set', 'Environment', 'RainRate', 4); % 4 mm/hrAll values in SI units: frequency in Hz, power in W, range in m, etc.
Step 3a: Map User Objectives to Requirements
When the user states a performance goal, set it as the Threshold on the matching requirement.
| User says | Req Index | Example call |
|---|---|---|
| "150 km range" | 2 (MaxRange) | radarDesignerParam(h, 'setRequirement', 2, 'Threshold', 150e3) |
| "10 m range resolution" | 6 (RangeResolution) | radarDesignerParam(h, 'setRequirement', 6, 'Threshold', 10) |
| "0.5° azimuth accuracy" | 10 (AzimuthAccuracy) | radarDesignerParam(h, 'setRequirement', 10, 'Threshold', 0.5) |
| "100 m/s first blind speed" | 7 (FirstBlindSpeed) | radarDesignerParam(h, 'setRequirement', 7, 'Threshold', 100) |
| "5 km min range" | 4 (MinRange) | radarDesignerParam(h, 'setRequirement', 4, 'Threshold', 5e3) |
Set both Threshold and Objective to the same value unless the user distinguishes a minimum acceptable (Threshold) from a desired goal (Objective).
Step 3b: Range Auto-Tuning (MANDATORY when user specifies a range)
If the user specifies a target range, you MUST run auto-tune BEFORE reading/reporting results:
result = radarDesignerResults(h, 'autoTune', 300e3); % 300 km targetThe auto-tune adjusts peak power (and gain if needed) so the achieved range is within ±15% of the user's request. It also sets the MaxRange requirement threshold to the user's requested range.
Skip this step ONLY if the user did not mention a specific range target.
Step 4: Read Analysis Results
T = radarDesignerResults(h, 'read');The returned table has 16 rows (one per metric) with columns: Metric, Units, Threshold, Objective, and per-radar Result_<name> and Status_<name> columns.
Status values: PASS (meets objective), WARN (between threshold and objective), FAIL (does not meet threshold).
Step 5: Multi-Radar, Sessions, Export
See code-reference.md for complete patterns.
Complete Property Reference
Radar Properties (Settable)
Waveform
| Property | Description | Units | Example |
|---|---|---|---|
Frequency | Carrier frequency | Hz | 3e9 |
PulseBandwidth | Pulse bandwidth | Hz | 20e6 |
PeakPower | Peak transmit power | W | 15e6 |
pulsewidth | Pulse duration | s | 1e-3 |
prf | Pulse repetition frequency | Hz | 1000 |
CarrierWaveInput | Input type for carrier wave | enum | 'Frequency' or 'Wavelength' |
PowerInput | Input type for power | enum | 'PeakPower' or 'AveragePower' |
PulseDurationInput | Input type for duration | enum | 'PulseWidth' or 'DutyCycle' |
PulseRepetitionInput | Input type for PRF | enum | 'PRF' or 'PRI' |
Noise
| Property | Description | Units | Example |
|---|---|---|---|
SystemNoiseInput | Noise input type | enum | 'Temperature' or 'Figure' |
NoiseTemperature | System noise temperature | K | 290 |
referenceNoiseTemperature | Reference noise temp | K | 290 |
QuantizationNoise | Enable quantization noise | logical | true/false |
QuantizationNumBits | ADC bits | integer | 12 |
QuantizationDynamicRange | ADC dynamic range | dB | 60 |
Antenna
| Property | Description | Units | Example |
|---|---|---|---|
AntennaHeight | Antenna height above ground | m | 75 |
TiltAngle | Antenna tilt angle | deg | 0 |
Polarization | Antenna polarization | enum | 'H', 'V', 'Circular' |
TxGain | Transmit antenna gain | dBi | 40 |
TxAzBeamwidth | Tx azimuth beamwidth | deg | 2 |
TxElBeamwidth | Tx elevation beamwidth | deg | 2 |
DifferentRx | Use different Rx antenna | logical | false |
RxGain | Receive antenna gain | dBi | 40 |
RxAzBeamwidth | Rx azimuth beamwidth | deg | 2 |
RxElBeamwidth | Rx elevation beamwidth | deg | 2 |
TxGainInput | Tx gain input mode | enum | 'FromAntennaPattern' or 'SincPattern' |
RxGainInput | Rx gain input mode | enum | 'FromAntennaPattern' or 'SincPattern' |
TxSincInput | Tx sinc pattern option | enum | 'Sinc' or 'Gaussian' |
Scanning
| Property | Description | Units | Example |
|---|---|---|---|
Scanning | Scan type | enum | 'None', 'Mechanical', 'Electronic' |
AzScanSectorMech | Mechanical az scan sector | deg | 360 |
AzScanSectorElec | Electronic az scan sector | deg | 120 |
ElScanStart | Elevation scan start | deg | 0 |
ElScanStop | Elevation scan stop | deg | 30 |
Detection
| Property | Description | Units | Example |
|---|---|---|---|
Pfa | Probability of false alarm | probability | 1e-6 |
NumPulses | Number of pulses integrated | integer | 10 |
PulseIntegration | Integration type | enum | 'Coherent', 'Noncoherent' |
NumCPIs | Number of CPIs | integer | 1 |
BinaryIntegration | Enable binary integration | logical | false |
NumBinaryDetections | Binary detection threshold | integer | depends |
MofNCPIIntegration | Enable M-of-N CPI integration | logical | false |
MNumCPIs | M threshold for M-of-N | integer | depends |
Track Confirmation
| Property | Description | Units | Example |
|---|---|---|---|
ConfirmationThreshM | M for M/N confirmation | integer | 3 |
ConfirmationThreshN | N for M/N confirmation | integer | 5 |
TrackUpdateInput | Track update input type | enum | 'TrackUpdateRate' or 'TrackUpdateTime' |
TrackUpdateTime | Track update time | s | 1 |
Signal Processing
| Property | Description | Units | Example |
|---|---|---|---|
STC | Enable STC | logical | false |
STCCutOffRange | STC cutoff range | m | 50000 |
STCExponent | STC exponent | scalar | 4 |
CFAR | Enable CFAR | logical | false |
CFARNumCells | CFAR reference cells | integer | 20 |
CFARMethod | CFAR method | enum | 'CA', 'OS', 'GO', 'SO' |
MTI | Enable MTI filter | logical | false |
MTICanceller | MTI canceller order | integer | 2 |
MTINullVelocity | MTI null velocity | m/s | 0 |
MTIMethod | MTI method | enum | depends |
Eclipsing | Enable eclipsing loss | logical | false |
CustomLoss | Additional custom loss | dB | 0 |
Target Properties
Do not use
'Height'as a property name. The property isTargetHeight, notHeight. The value'Height'is an enum value forTargetPositionInputType, not a settable property.
| Property | Description | Units | Example |
|---|---|---|---|
RCS | Radar cross section | m² | 1 |
SwerlingModel | Swerling fluctuation model | enum | 'Swerling0'...'Swerling4' |
TargetPositionInputType | Input type | enum | 'Height' or 'Elevation' |
TargetHeight | Target height/altitude | m | 10000 |
TargetElevation | Target elevation angle | deg | 5 |
MaxAcceleration | Max target acceleration | m/s² | 50 |
Name | Target name | string | 'Target 1' |
Environment Properties
| Property | Description | Units | Example |
|---|---|---|---|
FreeSpace | Free space propagation | logical | true |
AtmosphericGasLoss | Gas absorption enabled | logical | true |
LensLoss | Lens effect enabled | logical | true |
PropagationFactor | Propagation factor model | logical | true |
EarthModel | Earth model type | enum | 'Flat', 'Curved' |
SurfaceType | Surface type | enum | 'Sea', 'Land', 'Custom' |
RainRate | Rain rate | mm/hr | 4 |
PrecipitationType | Precipitation type | enum | 'Rain', 'Snow', 'Fog', 'Cloud' |
SeaStateNumber | Sea state (0-7) | integer | 3 |
LandType | Land type | enum | depends |
VegetationType | Vegetation type | enum | depends |
EffectiveEarthRadius | Effective earth radius | m | 8500000 |
Name | Environment name | string | 'Environment 1' |
Requirement Specifications
| Index | Name | Description |
|---|---|---|
| 1 | MaxRangePd | Max range at detection probability |
| 2 | MaxRange | Maximum detection range |
| 3 | MDS | Minimum detectable signal |
| 4 | MinRange | Minimum range |
| 5 | UnambiguousRange | Unambiguous range |
| 6 | RangeResolution | Range resolution |
| 7 | FirstBlindSpeed | First blind speed |
| 8 | RangeRateResolution | Range-rate resolution |
| 9 | RangeAccuracy | Range accuracy |
| 10 | AzimuthAccuracy | Azimuth accuracy |
| 11 | ElevationAccuracy | Elevation accuracy |
| 12 | RangeRateAccuracy | Range-rate accuracy |
| 13 | PtrueTrack | True track probability |
| 14 | PfalseTrack | False track probability |
| 15 | EIRP | EIRP |
| 16 | PowerAperture | Power-aperture product |
Each requirement has: Objective, Threshold.
Presenting Results
Always present results to the user in the following structured format:
1. Summary Table
Use Unicode box-drawing characters to render a clean table.
Single radar:
┌───────────────────────┬────────────┬────────┐
│ Metric │ Value │ Status │
├───────────────────────┼────────────┼────────┤
│ Max Range │ 315.1 km │ PASS │
├───────────────────────┼────────────┼────────┤
│ Range Resolution │ 7.5 m │ PASS │
├───────────────────────┼────────────┼────────┤
│ First Blind Speed │ 53.5 m/s │ WARN │
└───────────────────────┴────────────┴────────┘Multi-radar comparison:
┌───────────────────────┬────────────┬────────────┬─────────┐
│ Metric │ Radar A │ Radar B │ Winner │
├───────────────────────┼────────────┼────────────┼─────────┤
│ Max Range │ 315.1 km │ 222.6 km │ Radar A │
├───────────────────────┼────────────┼────────────┼─────────┤
│ First Blind Speed │ 53.5 m/s │ 26.8 m/s │ Radar A │
└───────────────────────┴────────────┴────────────┴─────────┘Table rules:
Show only metrics that are relevant to the user's question or that differ meaningfully between radars (not all 16 by default)
If the user asks for a "full report", show all 16 metrics
Include display units in the value cells (km, m/s, dBW, etc.)
Use the Status column values directly from the results table (PASS/WARN/FAIL)
2. Key Takeaways
After the table, provide 2-4 bullet points covering:
The most significant performance tradeoffs
Any surprising results or requirement failures
What factor is limiting performance (e.g., rain loss, duty cycle, antenna gain)
Impact of the user's parameter change (if they modified something)
3. Verdict
End with a 1-2 sentence summary or recommendation.
Conventions
UI Auto-Updates: All parameter changes fire events that update the web UI automatically — no manual refresh needed.
Handle Persistence: The variable
hmust persist in the MATLAB base workspace between calls. Eachevaluate_matlab_codecall shares the same workspace, sohremains available.Startup Timing: The app takes 5-10 seconds to initialize.
radarDesignerSession('launch')handles the wait automatically.Always Use project_path: When calling
mcp__matlab__evaluate_matlab_code, setproject_pathto the skill's root directory so the wrapper scripts inscripts/are on the MATLAB path.Property Names Are Case-Sensitive: Use exact names from the property reference tables above.
Range Auto-Tuning Is Mandatory: When the user specifies a target range, ALWAYS run
radarDesignerResults(h, 'autoTune', range_m)BEFORE reading results. Never report a design that overshoots or undershoots the user's requested range by more than 30%.Always Report Pass/Fail: When presenting results, always include the Status (PASS/WARN/FAIL) for each metric and explicitly call out which requirements are not met.
SI Units: All parameter values must be in SI units — frequency in Hz (not GHz), power in W (not MW), range in m (not km).
Always Consult code-reference.md: Before writing code for multi-radar comparison, session management, export, or before/after analysis, load and follow the patterns in code-reference.md.
Copyright 2026 The MathWorks, Inc.
Files
- ATTRIBUTION.mdAdded by AutoGineer1021 B
- LICENSELicence file added by AutoGineer1.4 KiB
- SKILL.md20.5 KiB
- manifest.yaml445 B
- references/code-reference.md6.0 KiB
- scripts/radarDesignerExport.p(opens on GitHub)Not mirrored: opens on GitHub856 B
- scripts/radarDesignerMultiRadar.p(opens on GitHub)Not mirrored: opens on GitHub656 B
- scripts/radarDesignerParam.p(opens on GitHub)Not mirrored: opens on GitHub658 B
- scripts/radarDesignerResults.p(opens on GitHub)Not mirrored: opens on GitHub1.6 KiB
- scripts/radarDesignerSession.p(opens on GitHub)Not mirrored: opens on GitHub674 B
ATTRIBUTION.md
Attribution
This folder is an unmodified copy of the Agent Skill "matlab-design-radar", distributed by AutoGineer (https://autogineer.com/agent-skills).
Commit: 2a7f215e965597acf6ed495beb9e7b8aff45a3be
Created by: MathWorks (https://github.com/matlab/matlab-agentic-toolkit/tree/2a7f215e965597acf6ed495beb9e7b8aff45a3be/skills-catalog/radar/matlab-design-radar)
Publisher: MathWorks (https://github.com/matlab)
Licence: BSD 2-Clause License (https://github.com/matlab/matlab-agentic-toolkit/blob/2a7f215e965597acf6ed495beb9e7b8aff45a3be/LICENSE.md)
Licence evidence: repository licence LICENSE.md
Retrieved: 2026-11-07
The skill's own files are unmodified copies. AutoGineer is not affiliated with or endorsed by the author or the publisher.
Files added by AutoGineer
ATTRIBUTION.md: this file, written by AutoGineer
LICENSE: copied from LICENSE.md
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs an MCP server
Security
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Attribution and licence
- Created by
- MathWorks
- Publisher
- MathWorks (Official)
- Source
- matlab/matlab-agentic-toolkit · skills-catalog/radar/matlab-design-radar · commit 2a7f215
- Licence
- BSD 2-Clause License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE.md)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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Get it from the source
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