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Related Experiment Videos

Frequency downconversion and phase noise in MIT.

S Watson1, R J Williams, H Griffiths

  • 1School of Electronics. University of Glamorgan, Pontypridd, UK. swatson1@glam.ac.uk

Physiological Measurement
|March 6, 2002
PubMed
Summary

Heterodyne downconversion enables precise phase measurement in high-frequency (HF) MIT systems by translating signals to lower frequencies. This method maintains signal integrity and simplifies measurements, crucial for advanced HF applications.

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Electromagnetics

Background:

  • High-frequency (3-30 MHz) operation in MIT systems yields larger signal amplitudes.
  • Signal distribution at HF poses challenges in isolation and phase stability.
  • Heterodyne downconversion offers a solution for signal translation to lower frequencies, preserving amplitude and phase information.

Purpose of the Study:

  • To present measurements of a direct phase measurement system using heterodyne downconversion.
  • To compare the performance of three different circuit configurations for this application.
  • To evaluate the precision and amplitude-dependent phase variations in the system.

Main Methods:

  • Implementation of a direct phase measurement system utilizing heterodyne downconversion.

Related Experiment Videos

  • Testing of three distinct circuit configurations for signal reception in MIT systems.
  • Measurement of phase precision and offset across a range of input amplitudes (-21 dBV to -72 dBV).

    • Main Results:

    • A circuit achieved 100-sample average precision of 0.008 degrees at -21 dBV input amplitude.
    • Phase offset varied by 1.8 degrees as input amplitude decreased from -21 dBV to -72 dBV.
    • Precision remained below 0.022 degrees down to -60 dBV input amplitude, despite deterioration at lower amplitudes.

    Conclusions:

    • Heterodyne downconversion is effective for precise phase measurement in HF MIT systems.
    • The tested circuit configurations offer varying performance, with one suitable for receiver applications.
    • Understanding amplitude-dependent phase variations and phase noise is critical for system optimization.