Four Steps to Building Smarter RF Systems with MATLAB

In this paper, we present an approach for modeling and simulating RF systems that provides a more flexible and fluid design workflow than traditional methods. With better modeling and simulation tools, RF and communications engineers can rapidly develop ideas, validate designs, and build more robust RF systems.

As the spectrum becomes increasingly occupied by new standards for mobile communication, Internet of Things, and radar applications, RF front ends must become adaptive and agile in order to co-exist, mitigate against interfering signals, and handle requirements such as:

  • Efficient use of available spectrum
  • Standards for higher data rates and lower latency
  • Lower power consumption

These requirements as well as advances in device integration are causing RF front ends to become highly complex, adaptive systems. As a result, RF system design is no longer an art that you can perform in isolation. System-level models that integrate RF and digital design can reduce risk and improve communication across engineering teams.

Consider the common challenge of meeting requirements that change several times in the design cycle. Design engineers can use these system-level models to capture requirements in executable specifications. They can explore ideas and tradeoffs, optimize system performance, and better communicate with customers and suppliers. A unified RF system modeling and simulation environment enables faster design iterations and fewer design errors, which directly translate to competitive advantages.

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