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Modelithics Release Discrete Components Optimization Article for RF/Microwave Designers

28.8.2025
Reading Time: 3 mins read
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Modelithics, Inc., a leader in precision RF and microwave measurement and modeling, published a blog article on he circuit design process through the integration of Discrete Optimization in Keysight’s Advanced Design System (ADS) using Modelithics Microwave Global Models™.

This process enables engineers to directly optimize toward real‑world manufacturer part values—eliminating the performance compromises and guesswork often associated with translating theoretical designs into practical builds.

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Discrete Components Selection Optimization with Modelithics and Keysight ADS

Bridging the Gap Between Theory and Manufacturing

Traditional CAD optimization workflows for RF/microwave filters, amplifiers, and other resistor, inductor, capacitor RLC‑based designs often result in “ideal” component values that do not match available market parts. With Discrete Optimization, designers can:

  • Automatically select the best available in‑series component values from multiple vendors.
  • Maintain performance targets without iterative manual substitutions.
  • Apply the process equally to inductors, capacitors, and resistors.

How It Works

  • Global Model Coverage – Each Microwave Global Model spans the full part‑series range, supports tuning, continuous optimization, and Discrete Optimization parameters (L_Discrete, C_Discrete, R_Discrete).
  • Optimization Mode – Engineers set nominal, minimum, and maximum values; ADS identifies the optimal real‑life component within those bounds.
  • Manual Override – Designers can still select specific part numbers when desired.

Case Study: Lowpass Filter Success

In a lowpass filter example targeting a 2 GHz passband:

  1. Ideal Design – Started with calculated values (e.g., L1/L3 = 5.569 nH, C1/C2 = 2.076 pF).
  2. With Modelithics Models – Real component parasitics shifted the passband down by ~630 MHz.
  3. Continuous Optimization – Restored performance with non‑manufacturable values.
  4. Discrete Optimization – Final manufacturable values (e.g., L1/L3 = 2.7 nH, C1/C2 = 1.5 pF) met all goals on first prototype.

Performance & Productivity Gains

The streamlined workflow means:

  • Faster design iterations
  • Higher first‑pass success rates
  • Simplified transition from simulation to fabrication

Quote from Modelithics Engineering Team:

“By embedding Discrete Optimization directly into the simulation phase, we’re giving engineers a powerful way to design for reality from day one—saving time, reducing cost, and improving overall performance.”

Read the full blog detailed post article here:

Taking Advantage of Discrete Optimization

For more information or to request a free trial of Modelithics Microwave Global Models, visit www.modelithics.com or contact [email protected].

Related

Source: Modelithics

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