Matlab analyze em
Skill matlab/matlab-agentic-toolkit/skills-catalog/rf-and-mixed-signal/matlab-analyze-em
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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).
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SKILL.md
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Analyzing EM Performance of RF PCB Components
When to Use
- Extracting S-parameters from any RF PCB component (catalog or custom pcbComponent)
- Comparing MoM vs FEM solvers or selecting the right solver for a structure
- Using interpolating sweeps or frequencySweep objects for faster multi-frequency analysis
- Controlling mesh density for accuracy vs speed tradeoffs
- Visualizing E/H fields, surface currents, or charge distributions
- Using behavioral (analytic) S-parameter models for fast estimates or optimization
When NOT to Use
- Building or assembling custom PCB structures — use
matlab-assemble-pcb-layout - Designing standard transmission lines or catalog objects — use
matlab-design-pcb-txline - Defining dielectric or metal materials — use
matlab-manage-pcb-material - Cascading or connecting multiple components into circuits — use
matlab-integrate-pcb-circuit - Importing PCB layouts from Gerber, ODB++, or Allegro — use
matlab-read-pcb-layout
Typical Workflow
- Before:
matlab-manage-pcb-material— substrate/conductor setup; then a design skill ormatlab-assemble-pcb-layout— create the component - This skill: Extract S-parameters, visualize fields and currents, verify performance
- After:
matlab-optimize-pcb-design— tune dimensions if specs not met →matlab-integrate-pcb-circuit— cascade into larger network →matlab-write-pcb-layout— export Gerber
Quick Reference
| Task | Code |
|---|---|
| S-parameters (MoM) | sp = sparameters(obj, freq, 'SweepOption', 'interp') |
| S-params with port Z0 | sp = sparameters(obj, freq, 50, 'SweepOption', 'interp') |
| Interpolating sweep | sp = sparameters(obj, freq, 50, 'SweepOption', 'interp') |
| Interp with gradient | sp = sparameters(obj, freq, 50, 'SweepOption', 'interpWithGrad') |
| Plot S-params | rfplot(sp) or rfplot(sp, [2 1], 1) |
| Current distribution | current(obj, fc) |
| Charge distribution | charge(obj, fc) |
| Feed current | feedCurrent(obj, freq) |
| E/H fields | [e, h] = EHfields(obj, fc, points) |
| Set mesh | mesh(obj, 'MaxEdgeLength', val) |
| Memory estimate | memoryEstimate(obj, fc) |
| Switch to FEM solver | pcb.SolverType = 'FEM' |
| FEM boundary condition | s = solver(pcb); s.BoundaryCondition = 'absorbing' |
| Frequency sweep object | fsweep = frequencySweep; sp = sparameters(obj, freq, 'SweepOption', fsweep) |
| Rational model from sweep | rmodel = getRationalModel(fsweep) |
| Discover methods | methods(obj) |
S-Parameter Extraction
The sparameters function is the primary analysis method for all RF PCB components.
Basic Usage
obj = design(couplerBranchline, 5e9);
freq = linspace(1e9, 10e9, 101);
sp = sparameters(obj, freq, 'SweepOption', 'interp');
figure;
rfplot(sp);
Specifying Port Impedance
sp = sparameters(obj, freq, 50, 'SweepOption', 'interp'); % 50-ohm reference
sp = sparameters(obj, freq, 75, 'SweepOption', 'interp'); % 75-ohm reference
Plotting Specific S-Parameters
rfplot(sp, [2 1], 1); % Plot S21 only
rfplot(sp, [1 1], 1); % Plot S11 only
rfplot(sp, 2:4, 1); % Plot S21, S31, S41 vs port 1
Extracting Numeric Data
sp = sparameters(obj, freq, 'SweepOption', 'interp');
S21_dB = 20*log10(abs(squeeze(sp.Parameters(2,1,:))));
S11_dB = 20*log10(abs(squeeze(sp.Parameters(1,1,:))));
Solver Selection
RF PCB Toolbox supports two electromagnetic solvers:
| Solver | Property Value | Best For |
|---|---|---|
| Method of Moments (MoM) | 'MoM' (default) | Planar structures, open radiators |
| Finite Element Method (FEM) | 'FEM' | Shielded catalog elements; also available on pcbComponent via SolverType |
Switching to FEM
FEM is available via pcbComponent:
pcb = pcbComponent(couplerBranchline);
pcb.SolverType = 'FEM';
sp_fem = sparameters(pcb, freq);
FEM Boundary Condition Configuration
After setting SolverType to 'FEM', retrieve the solver object via solver() to configure boundary conditions:
pcb = pcbComponent(catalogObj);
pcb.SolverType = 'FEM';
s = solver(pcb); % Returns em.solvers.fem.FEM object
s.BoundaryCondition = 'absorbing'; % or 'perfectly-matched-layer' (default)
| Boundary Condition | Value | Use Case |
|---|---|---|
| Perfectly Matched Layer (PML) | 'perfectly-matched-layer' (default) | Open radiating structures, antennas |
| Absorbing | 'absorbing' | Shielded enclosures, waveguide ports |
Gotcha: solver(comp, 'SolverType', 'FEM') errors with "Too many input arguments." SolverType is a property of pcbComponent, not an argument to solver(). BoundaryCondition is a property of the returned FEM solver object, not of the component.
FEM Prerequisites
The FEM solver (introduced R2025a) requires two dependencies:
- Integro-Differential Modeling Framework for MATLAB (IDMF) — Install via Home > Add-Ons > search "Integro-Differential Modeling Framework for MATLAB". Verify with
matlab.addons.installedAddons. - Windows Subsystem for Linux (WSL) — Required on Windows. Install via
wsl --installfrom an elevated PowerShell prompt. Verify withwsl --status.
If WSL is available, the FEM solver can be used when designing custom structures via pcbComponent. For shielded catalog elements, FEM is used automatically.
Firewall note: Windows Defender may block the PostgreSQL server used by IDMF (<matlabroot>\sys\postgresql\win64\PostgreSQL\bin\postgres.exe). If FEM solves hang on first use, inform the user of this potential cause and defer to them on what action to take per their IT/security policies. Do not modify firewall settings autonomously.
WSL Memory Tuning
WSL is allocated only 50% of system RAM by default. Large FEM problems may fail with out-of-memory errors. If the user hits OOM during an FEM solve, inform them that WSL memory can be increased by editing C:/Users/%UserProfile%/.wslconfig:
[wsl2]
memory=48GB
swap=8GB
Followed by wsl --shutdown and restart-service LxssManager (elevated PowerShell). Values should be adjusted based on system specs. This may require IT involvement — ask the user to make this change manually and resume when ready. Do not create or modify .wslconfig autonomously.
FEM-Only Properties
When SolverType='FEM', additional properties become available on pcbComponent:
| Property | Purpose |
|---|---|
Connector | Attach an RFConnector object for coaxial feed modeling (default: 50-ohm, InnerRadius=0.5mm, OuterRadius=1.5mm) |
IsShielded | Add metal shielding box around the structure (dimensions match ground plane) |
FEM Constraints
- No mode impedance extraction:
getZEven/getZOddare not available with the FEM solver. Use S-parameters only for shielded comparisons. - PEC required: FEM requires
Conductivity=Inf(PEC). Finite conductivity metals (e.g., Copper) will error. For shielded vs unshielded comparisons, use PEC for both. - Connector spacing: The
RFConnectorouter radius (default 1.5 mm) must fit between adjacent ports. If port spacing is tight, increaseSpacing/GroundPlaneWidthor reduceOuterRadiuson the connector.
Comparing Solvers
obj = design(couplerBranchline, 5e9);
freq = linspace(1e9, 5e9, 21);
sp_mom = sparameters(obj, freq, 'SweepOption', 'interp');
pcb = pcbComponent(obj);
pcb.SolverType = 'FEM';
sp_fem = sparameters(pcb, freq); % FEM: interp not applicable
figure;
rfplot(sp_mom); hold on;
rfplot(sp_fem, '--');
legend('MoM', 'FEM');
Interpolating Sweep
For faster multi-frequency analysis, use interpolating sweep instead of discrete point-by-point solves. This is significantly faster, especially for large structures.
Basic Interpolation
freq = linspace(4.5e9, 5.5e9, 101);
sp = sparameters(obj, freq, 50, 'SweepOption', 'interp');
Interpolation with Gradient
More accurate interpolation using gradient information:
freq = [4.5e9, 5.5e9]; % Only need start/end — solver picks internal points
sp = sparameters(obj, freq, 50, 'SweepOption', 'interpWithGrad');
When to Use Interpolation
| Scenario | Recommendation |
|---|---|
| Narrowband (< 2:1 BW) | 'interpWithGrad' — fastest, accurate |
| Wideband (> 2:1 BW) | 'interp' — stable over wide range |
| Debugging / single freq | No sweep option (discrete) |
| Resonant structures | Discrete or fine 'interp' grid |
frequencySweep Object (R2025a)
For finer control over interpolation-based sweeps, use the frequencySweep object. It exposes error tolerance, iteration limits, and rational fitting — useful when the default 'SweepOption' settings are not sufficient.
fsweep = frequencySweep;
fsweep.SweepType = "interp"; % "interp" (default) | "interpWithGrad"
fsweep.ErrTol = -80; % dB, default -80
fsweep.NumFreqs = 100; % points to discretize frequency range, default 100
fsweep.NumIters = 25; % max fitting iterations, default 25
freq = linspace(1e9, 10e9, 200);
sp = sparameters(comp, freq, 'SweepOption', fsweep);
% Extract rational fitting model after the sweep
rmodel = getRationalModel(fsweep);
| Property | Default | Description |
|---|---|---|
SweepType | "interp" | Interpolation type; "interpWithGrad" uses gradient info |
ErrTol | -80 dB | Max error tolerance between fitting iterations |
NumFreqs | 100 | Number of points to discretize frequency range |
NumIters | 25 | Maximum number of fitting iterations |
Mesh Control
Mesh density directly affects accuracy and computation time.
Setting Maximum Edge Length
Rule of thumb: MaxEdgeLength ≤ λ/8 at the highest frequency.
fc = 10e9;
lambda = 3e8 / fc;
mesh(obj, 'MaxEdgeLength', lambda/8);
Viewing the Mesh
figure;
mesh(obj); % Visualize default mesh
figure;
mesh(obj, 'MaxEdgeLength', 1e-3); % Visualize refined mesh
Mesh Configuration
Switch between automatic and manual meshing:
meshconfig(obj, 'manual');
mesh(obj, 'MaxEdgeLength', 0.5e-3, 'MinEdgeLength', 0.1e-3);
meshconfig(obj, 'auto'); % Revert to automatic meshing
Pre-Solve Checkpoint: Inspect Mesh and Memory
Catalog components generate dense auto-meshes that can dominate runtime even with interpolating sweep. Always inspect before committing to a full solve:
fc = 10e9;
memoryEstimate(obj, fc, 'RetainMesh', true); % Estimate RAM; retain mesh for inspection
mesh(obj); % Visualize — check if overly dense
% If too dense or memory too high, coarsen
lambda = physconst('LightSpeed') / fc;
mesh(obj, 'MaxEdgeLength', lambda/6); % Relax from default
memoryEstimate(obj, fc, 'RetainMesh', true); % Re-check after coarsening
The 'RetainMesh', true option keeps the generated mesh attached to the object so you can visualize it immediately. Without it, the mesh is discarded after estimation.
Field Visualization
EHfields — Electric and Magnetic Fields
At a Single Point
ind = spiralInductor;
[e, h] = EHfields(ind, 4e9, [0; 0; 1]); % Point at (0,0,1) meters
Near-Field on a Planar Grid
fc = 5e9;
Nx = 80; Ny = 60;
xVec = linspace(-0.02, 0.02, Nx);
yVec = linspace(-0.015, 0.015, Ny);
[Xg, Yg] = meshgrid(xVec, yVec);
Zg = 2e-3 * ones(size(Xg)); % Observation plane at z = 2 mm
points = [Xg(:)'; Yg(:)'; Zg(:)'];
[eNear, hNear] = EHfields(obj, fc, points);
eMag2D = reshape(vecnorm(eNear), Ny, Nx);
figure;
imagesc(xVec*1e3, yVec*1e3, 20*log10(eMag2D));
xlabel('x (mm)'); ylabel('y (mm)');
title(sprintf('|E| at z=2mm, f=%.1f GHz', fc/1e9));
colorbar; axis equal tight;
Observation Plane Selection
| Structure Type | Recommended Slice | Rationale |
|---|---|---|
| Horizontal traces (microstrip, stub) | X-Y at z = h (signal layer) | Fields strongest at trace plane |
| Vertical structures (vias) | X-Z at y = 0 | See vertical field transition |
| T-junctions / stubs | X-Y biased toward stub | Capture fringing at open end |
Far-Field (Default Sphere)
EHfields(obj, fc, ViewField="E"); % Plot only, no output
Current and Charge Distribution
Surface Current
figure;
current(obj, 5e9); % Linear scale
figure;
current(obj, 5e9, scale="log"); % Log scale for dynamic range
Charge Distribution
figure;
charge(obj, 5e9); % On metal surface
figure;
charge(obj, 5e9, 'dielectric'); % On dielectric surface
Feed Current vs. Frequency
freq = linspace(1e9, 10e9, 101);
feedCurrent(obj, freq); % Plots feed current magnitude
Transmission Line RLGC and Impedance
For pcb2D cross-section analysis, RLGC extraction, characteristic impedance (getZ0), and propagation delay, see matlab-design-pcb-txline.
Behavioral S-Parameters (Fast Analytic Models)
Behavioral models compute S-parameters using closed-form analytic approximations instead of full-wave EM. They are orders of magnitude faster — useful for initial exploration, circuit-level simulation, and optimization inner loops.
Syntax
S = sparameters(obj, freq, Behavioral=true); % Named argument
S = sparameters(obj, freq, 'Behavioral', true); % Name-value pair
Supported Objects
Behavioral mode works on:
| Category | Objects |
|---|---|
| Catalog components | coplanarWaveguide, microstripLine, stripLine, spiralInductor, interdigitalCapacitor, and most catalog objects |
| pcbComponent wrappers | Any pcbComponent containing microstrip bend, cross, tee, or other discontinuity shapes |
Common Patterns
Transmission line discontinuities — wrap a shape in pcbComponent, then compare behavioral vs full-wave:
m = microstripLine(Length=0.04, Width=2.7e-3, Height=1.6e-3);
shape = bendMitered(Length=[m.Length/2, m.Length/2], ...
Width=[m.Width, m.Width], MiterDiagonal=sqrt(2)*m.Width);
pcb = pcbComponent(shape);
pcb.BoardThickness = m.Substrate.Thickness;
pcb.Layers{2} = m.Substrate;
freq = (1:40)*100e6;
S_fast = sparameters(pcb, freq, Behavioral=true); % ~instant
S_em = sparameters(pcb, freq, 'SweepOption', 'interp'); % Full MoM solve
Direct on catalog objects:
cpw = design(coplanarWaveguide, 3e9, LineLength=0.5, Z0=75);
cpw.Conductor = metal("Gold");
S = sparameters(cpw, 3e9, Behavioral=true);
When to Use Behavioral vs Full-Wave
| Scenario | Recommendation |
|---|---|
| Quick impedance/loss estimate | Behavioral |
| Optimization inner loop | Behavioral |
Circuit-level cascading via pcbElement | Behavioral (set Behavioral=true in pcbElement) |
| Final design validation | Full-wave (default) |
| Complex multi-layer structures | Full-wave |
| Near field/current/charge visualization | Full-wave only |
Accuracy Limitations
Behavioral models assume ideal microstrip/stripline geometry and may diverge from full-wave at:
- High frequencies (above first higher-order mode)
- Very wide or narrow traces (outside quasi-TEM regime)
- Complex multi-layer substrates
- Structures with significant radiation or surface wave coupling
Pitfalls
-
Ask for frequency range first: Do not assume the analysis frequency range. Always ask the user what frequency band they want before running
sparameters. Wrong assumptions waste solve time and may miss the structure's operating band. -
Memory exhaustion from dense auto-meshes: Catalog components often generate overly dense meshes. Always run
memoryEstimate(obj, fc, 'RetainMesh', true)before committing to a full-band sweep, thenmesh(obj)to visualize. If the mesh is too fine or memory too high, coarsen withmesh(obj, 'MaxEdgeLength', lambda/6)before solving. This applies even when using interpolating sweep — the mesh drives per-frequency cost. -
FEM only works via pcbComponent and requires WSL on Windows: The
SolverTypeproperty exists on both catalog objects andpcbComponent, but setting it to'FEM'on a catalog object errors (e.g., "FEM solver for couplerBranchline is not supported"). Convert catalog objects first:pcb = pcbComponent(catalogObj); pcb.SolverType = 'FEM';. Additionally, FEM requires Windows Subsystem for Linux (WSL) — if WSL is not installed, the solve will fail. Use MoM (default) when WSL is unavailable. -
Feed errors: If
sparametersfails with a feed-related error, verify thatFeedLocationscoordinates fall within the metal trace and thatFeedDiameterfits inside the trace width. Inset feed at leastFeedDiameter/2from any trace edge. -
Interpolating sweep frequency range: For
'interpWithGrad', you can specify just[fmin, fmax]— the solver picks internal sample points. For'interp', provide a full frequency vector; the solver interpolates between computed points. -
Close figures between large solves: EHfields with many figures or large grids can consume session memory. Use
close allbetween analysis sections when running interactively. -
Behavioral models don't support field/current/charge.
current(),charge(), andEHfields()always use the full-wave solver regardless of theBehavioralflag. Onlysparameters()honors it. -
solver()takes no name-value arguments: Do not passsolver(comp, 'SolverType', 'FEM')— it errors with "Too many input arguments." Setcomp.SolverType = 'FEM'first, then calls = solver(comp)to get the FEM solver object. Boundary conditions are configured on that solver object (s.BoundaryCondition), not on the component. -
EHfields points must be 3×N, not N×3: The
pointsargument toEHfields(obj, fc, points)must be a 3-row matrix where each column is[x; y; z]. Do NOT pass N×3. Build with:points = [Xg(:)'; Yg(:)'; Zg(:)'].
Related Skills
matlab-manage-pcb-material— Material properties affect solver accuracy and loss modelingmatlab-assemble-pcb-layout— Building custom structures to analyzematlab-design-pcb-txline— Transmission line parameter extraction, pcb2D, RLGC, crosstalkmatlab-design-pcb-passive— Behavioral S-parameters for inductors/capacitors
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