title: Frequency downconversion and phase noise in MIT.
abstract: High-frequency (3-30 MHz) operation of MIT systems offers advantages in terms of the larger induced signal amplitudes compared to systems operating in the low- or medium-frequency ranges. Signal distribution at HF, however, presents difficulties, in particular with isolation and phase stability. It is therefore valuable to translate received signals to a lower frequency range through heterodyne downconversion, a process in which relative signal amplitude and phase information is in theory retained. Measurement of signal amplitude and phase is also simplified at lower frequencies. The paper presents details of measurements on a direct phase measurement system utilizing heterodyne downconversion and compares the relative performance of three circuit configurations. The 100-sample average precision of a circuit suitable for use as a receiver within an MIT system was 0.008 degrees for input amplitude -21 dBV. As the input amplitude was reduced from -21 to -72 dBV variation in the measured phase offset was observed, with the offset varying by 1.8 degrees. The precision of the circuit deteriorated with decreasing input amplitude, but was found to provide a 100-sample average precision of <0.022 degrees down to an input amplitude of -60 dBV. The characteristics of phase noise within the system are discussed.
authors.affiliation: School of Electronics. University of Glamorgan, Pontypridd, UK. swatson1@glam.ac.uk
authors.forename: S
authors.initials: S
authors.lastname: Watson
authors.forename: R J
authors.initials: RJ
authors.lastname: Williams
authors.forename: H
authors.initials: H
authors.lastname: Griffiths
authors.forename: W
authors.initials: W
authors.lastname: Gough
authors.forename: A
authors.initials: A
authors.lastname: Morris
mesh_terms: D000669:Amplifiers, Electronic; D017097:Electric Impedance; D004574:Electromagnetic Fields; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D014054:Tomography / Q000295:instrumentation / Q000706:statistics & numerical data*