Skip to main content
ClaudeWave
ES, Spanish
Skill1.2k estrellas del repoactualizado 6d ago

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.

Instalar en Claude Code
Copiar
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-filter
Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

SKILL.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
matlab-access-datafeedSkill

>

matlab-analyze-ams-waveformSkill

Analyze AMS waveform data using Mixed-Signal Blockset utilities: phase noise measurement, clock jitter, anti-aliased resampling, timing measurements, lock time, INL/DNL, ADC/DAC calibration, HSpice import. Use when analyzing time-domain voltage from PLL/VCO/clock simulations, measuring phase noise from variable-step solver output, computing jitter, or resampling non-uniform data.

matlab-analyze-dataSkill

Analyze data using MATLAB. Use when the task involves tables, timetables, time-series data, numeric arrays, sensor matrices, or gridded data — including but not limited to exploring, filtering, sorting, cleaning, transforming, aggregating, smoothing, padding, trimming, and answering questions about data. MATLAB provides extensive, easy-to-use built-in functions for these workflows with no additional products required.

matlab-analyze-dependenciesSkill

Analyze the effective toolbox file set to produce a Dependency Manifest — classify all transitive dependencies as included, product, add-on, or external-unresolved, then present resolution options with tradeoffs. Use after matlab-define-toolbox-api when the spec is approved.

matlab-analyze-emSkill

S-parameters, insertion loss, fields, currents, mesh control, and solver selection for RF PCB performance validation. TRIGGER: user asks to compute S-parameters, analyze insertion/return loss, extract fields or currents, compare MoM vs FEM, or control mesh for any RF PCB component. Invoke BEFORE writing sparameters() or solver code — API is non-obvious. SKIP: designing or creating components (use the specific matlab-design-pcb-* skill), material/stackup setup only (use matlab-manage-pcb-material), optimization sweeps (use matlab-optimize-pcb-design), PDN/IR-drop analysis (use matlab-analyze-pcb-pdn).

matlab-analyze-installed-antennaSkill

Analyze antennas installed on electrically large conducting platforms using MATLAB Antenna Toolbox. Loads platform geometry from STL/STEP/IGES, installs antenna elements, selects electromagnetic solvers (MoM-PO, FMM, MoM), and computes patterns, impedance, coupling, and efficiency. Use when the user wants to model an antenna on a vehicle, aircraft, ship, satellite, or other large structure.

matlab-analyze-pcb-pdnSkill

PDN DC voltage/current analysis, IR drop, design rule checking, and multi-net batch analysis on imported PCB layouts. TRIGGER: user asks about power integrity, PDN analysis, IR drop, voltage distribution, current density, power nets, or design rule checking on a PCB. Invoke BEFORE writing code — the PDN API chain is specialized and non-obvious. SKIP: importing a PCB file (use matlab-read-pcb-layout), EM field/S-parameter extraction (use matlab-analyze-em), material/stackup setup only (use matlab-manage-pcb-material), transmission line design (use matlab-design-pcb-txline).

matlab-analyze-rcsSkill

Calculate and visualize monostatic and bistatic radar cross section (RCS) using MATLAB Antenna Toolbox. Computes RCS of platforms, antennas, and arrays with PO, MoM, and FMM solvers, supporting HH/VV/HV/VH polarization, GPU acceleration, and near-field observation. Use when the user wants to compute, plot, or analyze radar cross section.