matlab-design-pcb-filter
This skill designs RF bandpass, lowpass, and bandstop filters using topologies including coupled-line, hairpin, combline, interdigital, stub, spurline, and substrate-integrated waveguide (SIW) geometries. Use it when a user requests filter design, topology selection, or extraction of coupling matrices from measured data, and invoke before writing code since filter class names differ from conventional nomenclature.
git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit /tmp/matlab-design-pcb-filter && cp -r /tmp/matlab-design-pcb-filter/skills-catalog/rf-and-mixed-signal/matlab-design-pcb-filter ~/.claude/skills/matlab-design-pcb-filterSKILL.md
# Designing RF Filters ## When to Use - Designing bandpass filters (coupled-line, hairpin, open-loop, combline, interdigital, SIW) - Designing lowpass filters (stepped-impedance) - Designing bandstop or notch filters (spurline, stub-based) - Extracting coupling matrices from measured S-parameter data (measuredFilter) - Selecting a filter topology for a given bandwidth, selectivity, or size requirement ## When NOT to Use - Designing transmission lines for impedance control — use `matlab-design-pcb-txline` - Designing couplers or splitters — use `matlab-design-pcb-coupler` - Designing passive components (inductors, capacitors, baluns) — use `matlab-design-pcb-passive` - Setting up substrate or conductor materials — use `matlab-manage-pcb-material` - Optimizing filter dimensions after design — use `matlab-optimize-pcb-design` ## Typical Workflow 1. **Before:** `matlab-manage-pcb-material` — set up substrate and conductor 2. **This skill:** Design the filter (catalog object or custom geometry) 3. **Check mesh/memory:** `memoryEstimate(obj, fc, 'RetainMesh', true)` — inspect auto-mesh density before committing to a full solve 4. **After:** `matlab-analyze-em` — validate S-parameters → `matlab-optimize-pcb-design` — tune dimensions → `matlab-write-pcb-layout` — export Gerber ## Quick Reference — Filter Selection | Filter Object | Type | Poles | Best For | |---------------|------|-------|----------| | `filterCoupledLine` | Bandpass | 2–8 | General microstrip BPF | | `filterHairpin` | Bandpass | 2–8 | Compact BPF, folded resonators | | `filterOpenLoop` | Bandpass | 4/6/8 | Compact quasi-elliptic | | `filterCombline` | Bandpass | 2–6 | Narrow-band, high-Q | | `filterInterdigital` | Bandpass | 2–8 | Wideband, good stopband | | `filterStepImpedanceLowPass` | Lowpass | 3–9 | Distributed LPF | | `filterStub` | LP/HP/BS | N stubs | Flexible stub topology | | `filterSpurline` | Bandstop | 1–2 | Compact notch filter | | `SIWFilter` | Bandpass | 2–6 | High-Q waveguide-in-PCB | | `measuredFilter` | Bandpass | N | Model extraction from measurements | ## Bandpass Filters ### Coupled-Line Filter ```matlab f = filterCoupledLine; f = design(filterCoupledLine, 3e9); % Design at 3 GHz show(f); sp = sparameters(f, linspace(1e9, 5e9, 101), 'SweepOption', 'interp'); rfplot(sp); ``` Key properties: `FilterOrder`, `CoupledLineLength`, `CoupledLineWidth`, `CoupledLineSpacing`, `PortLineLength`, `PortLineWidth`. ### Hairpin Filter Folded coupled-line resonators for compact size: ```matlab f = design(filterHairpin, 3e9); show(f); memoryEstimate(f, 3e9, 'RetainMesh', true); % Check mesh density before solving sp = sparameters(f, linspace(1e9, 5e9, 101), 'SweepOption', 'interp'); rfplot(sp); ``` Key properties: `FilterOrder`, `CoupledLineLength`, `CoupledLineWidth`, `CoupledLineSpacing`, `PortLineLength`, `PortLineWidth`, `Spacing`, `ResonatorOffset`, `FeedOffset`. ### Chebyshev Response Pass `FilterType` and `RippleFactor` to `design()` for equiripple passband response: ```matlab f = design(filterHairpin, 1.8e9, FBW=10, FilterType='Chebyshev', RippleFactor=0.5); ``` `FilterType` options: `'Butterworth'` (default), `'Chebyshev'`. `FBW` sets fractional bandwidth (%). `RippleFactor` sets passband ripple in dB (default 0.5) — only applies to Chebyshev. ### Fifth-Order Hairpin ```matlab f = filterHairpin; f.FilterOrder = 5; f = design(f, 2.4e9); show(f); ``` ### Open-Loop Filter Quasi-elliptic response with cross-coupling: ```matlab f = filterOpenLoop; f.NumPoles = 6; f.FeedOffset = 0.5e-3; show(f); sp = sparameters(f, linspace(1e9, 5e9, 101), 'SweepOption', 'interp'); rfplot(sp); ``` **Key Properties:** `NumPoles` (4/6/8), `ResonatorLength`, `ResonatorWidth`, `SplitGap`, `GapHorizontal`, `GapVertical`, `FeedOffset`, `CoupledResonatorGap`, `QuadrupletGap`, `QuadrupletOffset`. ### Combline Filter Short-circuited resonators, excellent for narrow-band. **Note:** `filterCombline` does not have a `design` function — set properties manually: ```matlab f = filterCombline; f.FilterOrder = 3; f.Height = 1.6e-3; show(f); ``` **Key Properties:** `FilterOrder`, `ResonatorLength` (scalar or vector), `ResonatorWidth`, `ResonatorSpacing` (scalar or vector), `ResonatorOffset`, `FeedOffset`, `Capacitor` (loading capacitance — distinctive to combline). ### Interdigital Filter Alternating short-circuited resonators, wideband. **Note:** `filterInterdigital` does not have a `design` function — set properties manually: ```matlab f = filterInterdigital; f.FilterOrder = 4; f.Height = 1.6e-3; show(f); sp = sparameters(f, linspace(3e9, 7e9, 101), 'SweepOption', 'interp'); rfplot(sp); ``` **Key Properties:** `FilterOrder`, `ResonatorLength` (scalar or vector), `ResonatorWidth` (scalar or vector), `ResonatorSpacing` (scalar or vector), `ResonatorOffset`, `ViaDiameter` (scalar or vector — distinctive to interdigital), `FeedOffset`, `IsShielded`, `Connector`. ## Lowpass Filters ### Stepped-Impedance Lowpass ```matlab f = filterStepImpedanceLowPass; f = design(filterStepImpedanceLowPass, 2.5e9); show(f); sp = sparameters(f, linspace(0.1e9, 5e9, 101), 'SweepOption', 'interp'); rfplot(sp); ``` Key properties: `FilterOrder`, `HighZLineWidth`, `LowZLineWidth`, `HighZLineLength`, `LowZLineLength`. ## Bandstop / Notch Filters ### Spurline Filter Compact notch using coupled-line section on one side: ```matlab f = filterSpurline; show(f); sp = sparameters(f, linspace(1e9, 6e9, 51), 'SweepOption', 'interp'); rfplot(sp); ``` Double spurline for deeper rejection: ```matlab f = filterSpurline; f.LineType = 'Double'; show(f); ``` **Key Properties:** `LineType` (`'Single'`/`'Double'`), `CoupledLineLength`, `CoupledLineWidth`, `CoupledLineSpacing`, `LineGap` (gap between coupled line and output line — distinctive to spurline), `IsShielded`, `Connector`. ### Stub Filters (Open/Short) The `filterStub` object supports open-circuit stubs (bandstop) and short-circuit stubs (highpass): ```matlab f = filterStub; f.StubLength
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Import recorded driving sensor data (GPS, camera, lidar, actor tracks, lanes) into scenariobuilder.* objects (GPSData, CameraData, LidarData, ActorTrackData, Trajectory, laneData) and run preprocessing — synchronize, offset correction, crop, normalizeTimestamps, convertTimestamps. Also: compute actor tracks from lidar when no annotations exist, attach camera/lidar mounting + intrinsics, export to MAT/workspace/timetable/script. Use for raw driving dataset files (KITTI, nuScenes, Waymo, Pandaset, ROS/ROS2 bags, .mat, .csv, .mp4) or driving/vehicle/sensor logs that need wrapping. drivingLogAnalyzer (DLA) is OPT-IN ONLY — invoke only on explicit user request ('DLA', 'open in DLA', 'inspect/explore/analyze the recording') or reported sensor problem (sync drift, timestamp mismatch, overlay misalignment). NEVER auto-launch DLA after wrapping (Rule 0). For 'build scenario / export to RoadRunner / drivingScenario / OpenSCENARIO / Unreal / simulate', hand off to matlab-scenario-builder.
Generate driving scenes, scenarios, road surfaces, and 3D content from already-wrapped scenariobuilder.* sensor data (GPS, camera, lidar, actor tracks) using Scenario Builder for Automated Driving Toolbox. Use to BUILD, EXPORT, or AUGMENT a virtual scenario/scene/map: ego or actor trajectories, trajectory smoothing, OpenCRG road-surface extraction, 3D asset generation, static-object placement, point-cloud georeferencing + elevation, lane-based ego localization, sensor-fusion tracking, scenario-event extraction (cut-ins, hard brakes, near-misses, ADAS disengagements), or export to RoadRunner, drivingScenario, OpenDRIVE, OpenCRG, OpenSCENARIO, or Unreal Engine. Also: log-to-scenario, scenario harvesting, accident/near-miss reconstruction, SOTIF (ISO 21448) and ISO 26262 scenario coverage, USGS-aerial-lidar scene augmentation, traffic-sign placement from camera+lidar logs. NOT for raw-data import or multi-sensor sync/crop/offset/timestamp normalization — route those to matlab-driving-data-importer.
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Build, modify, and diagram SimBiology models — API reference, helper functions, and layout patterns. Use when constructing or editing models programmatically or visually.