Login / Signup

A novel approach to estimating the Doppler shift frequency from quadrature mixer output.

M Y WangA D LiuC ZhouJ Q HuH LiTao LanJ L XieW X DingWan-Dong LiuC X Yu
Published in: The Review of scientific instruments (2018)
Doppler backscattering systems (DBSs) have been widely used in magnetic confinement fusion devices to measure the density fluctuations and propagation velocity of turbulence. However, the received signals of a DBS usually include both zero-order reflection and backscattering components, which results in interference in calculating the Doppler shift frequency from the backscattering components. A novel method is introduced here for estimating the Doppler shift frequency by separating the zero-order reflection and backscattering components using the cross-phase spectrum between the I-signal and Q-signal from a quadrature mixer, based on the difference in symmetrical characteristics between the zero-order reflection and backscattering signal spectra. It is proven that this method is more effective than traditional approaches, such as multiple signal classification and fast Fourier transformation, for extracting Doppler shift information.
Keyphrases
  • blood flow
  • machine learning
  • healthcare
  • deep learning
  • deep brain stimulation
  • high resolution
  • mass spectrometry
  • social media