HIGHLIGHTS
- who: TAHSINA FARAH SANAM and collaborators from the Department of Electrical Computer Engineering, Rutgers University, Piscataway, NJ, USA have published the paper: A Multi-View Discriminant Learning Approach for Indoor Localization Using Amplitude and Phase Features of CSI, in the Journal: (JOURNAL)
- what: The authors propose MuDLoc the first multi-view discriminant learning approach for device free indoor localization using both amplitude phase features of Channel State Information (CSI) from multiple Access Points (APs).
- how: By utilizing both the amplitude and the phase difference between receiver antennas as location features complete wireless propagation . . .
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