Broadband Mode in Proton-Precession Magnetometers with Signal Processing Regression Methods

نویسندگان

  • Alexey Y. Denisov
  • Vladimir A. Sapunov
  • Boris Rubinstein
چکیده

The choice of the signal processing method may improve characteristics of the measuring device. We consider a measurement error of the signal processing regression methods of a quasiharmonic signal generated in a frequency selective device. The results applied to analyze the difference between the simple period meter processing and regression algorithms using measurement cycle signal data in protonprecession magnetometers. Dependencies of measurement error on sensor quality factor and frequency of nuclear precession are obtained. It is shown that regression methods considerably widen the registration bandwidth and relax the requirements to the magnetometer hardware, and thus affects the optimization criteria of the registration system.

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تاریخ انتشار 2013