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Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters

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Modeling phase noise in multifunction subassemblies.

Michael Driscoll¹

¹Northrop Grumman Electronic Systems, Baltimore, MD, USA. michael.driscoll@ngc.com

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

|April 7, 2012

Summary

Accurate phase noise modeling is crucial for multifunction hardware. This study details a spreadsheet model predicting static, vibration-induced, and additive phase noise from circuit components.

Area of Science:

Electrical Engineering
Signal Processing
RF and Microwave Engineering

Background:

Multifunction hardware demands precise phase noise performance.
Accurate modeling of signal path components is essential for achieving this performance.
Both absolute (oscillator) and residual (non-oscillator) noise contributors must be considered.

Purpose of the Study:

To develop a comprehensive model for predicting phase noise in complex electronic systems.
To include both static and vibration-induced phase noise.
To account for various noise sources including IC voltage regulators and differentiate common vs. independent contributors.

Main Methods:

Development of a spreadsheet-based model for phase noise analysis.
Estimation of additive (KTBF) phase noise using device drive level and noise figure.

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Measurement-based determination of near-carrier (multiplicative) and vibration-induced noise.

Inclusion of integrated circuit (IC) voltage regulator noise effects.

Main Results:

The model allows for reasonable estimation of additive phase noise.
Accurate prediction of near-carrier and vibration-induced noise requires empirical measurement.
The model effectively incorporates noise from IC voltage regulators.
Distinction between common and independent signal path noise contributors is facilitated.

Conclusions:

A practical spreadsheet model can accurately predict phase noise performance in multifunction circuitry.
Combining estimation and measurement provides a robust approach to phase noise analysis.
The model aids in optimizing hardware design for superior phase noise characteristics.