Automatic radar-based 2-d localization exploiting vital signs signatures

HIGHLIGHTS

• who: Marco Mercuri from the University of have published the research work: Automatic radar-based 2-D localization exploiting vital signs signatures, in the Journal: Scientific Reports Scientific Reports
• what: The authors propose a signal processing algorithm to automatically detect the number and the 2-D position (azimuth and range) of seated people. The next step is to define a metric to evaluate the most significant components of U by which the authors determine P. Circle fitting. The authors propose the following technique which is applied to each column of U. The authors determine P . . .
  

   

  

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