Automated Synthesis of Microwave Filters Using Modular Neural Networks


An intelligent circuit synthesis method for automatic tuning of microwave filters is reported. The intelligent agent is a neural network used for mapping RF filter performance specifications to tunable component parameter values. The neural network acts as an efficient and accurate real-time synthesis tool which when supplied with filter performance specifications calculates the required capacitor and inductor values to produce a circuit whose response is consistent with performance specifications. To demonstrate the efficacy of the approach, a tunable LC microwave high pass filter is synthesized using a modular neural network having 7 local experts, 12 inputs and 7 outputs. The resulting design - tunable from 7GHz to 12GHz in steps of 0.2GHz — required less than 3 cpuseconds per circuit synthesis on an IBM X60 Lenovo laptop computer.

  • Abstract
  • 1. Introduction and Related Work
  • 2. Artificial Neural Networks
  • 3. Procedure
  • 4. Results
  • 5. Conclusions
  • 6. Acknowledgements
  • 7. References

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