Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloLeveraging MIMO-OFDM radio signals for device-free occupancy inference: system design and experiments
Anno di pubblicazione2018
FormatoElettronico
Autore/iSanaz Kianoush, Stefano Savazzi, Vittorio Rampa
Affiliazioni autoriassegnista postdottorali, Ricercatore, I Ricercatore
Autori CNR e affiliazioni
  • SANAZ KIANOUSH
  • STEFANO SAVAZZI
  • VITTORIO RAMPA
Lingua/e
  • inglese
AbstractIn device-free radio frequency (RF) body occupancy inference systems, RF signals encode information (e.g., body location, posture, activity) about moving targets (not instrumented) that alter the radio propagation in the surroundings of the RF link(s). Such systems are now getting more attention as they enable flexible location-based services for new smart scenarios (e.g., smart spaces, safety and security, assisted living) just using off-the-shelf wireless devices. The goal of this paper is to set the fundamental signal processing methods and tools for performance evaluation of passive occupancy inference problems that leverage on the analysis of physical layer (PHY) channel state information (CSI) obtained from multiple antennas (spatial domain) and carriers (frequency domain) jointly. To this aim, we consider here a multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) radio interface adopted in high-throughput WiFi networks such as IEEE 802.11n,ac. The proposed approach investigates at first relevant CSI features that are more sensitive to body presence; next, it proposes a space-frequency selection method based on principal component analysis (PCA). Considering an experimental case study with WiFi links, we show that the joint space- and frequency-domain processing of the radio signal quality indicators enable both detection and two independent targets (i.e., human bodies) arbitrarily moving in the surroundings of the transmitter/receiver locations. Experiments are conducted using off-the-shelf WiFi devices configured to extract and process CSI over standard PHY preambles: performance analysis sets the best practices for system design and evaluation
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da-
Pagine a-
Pagine totali-
RivistaEURASIP Journal on Advances in Signal Processing (Print)
Attiva dal 2007
Editore: Hindawi Publishing Corporation - Cairo
Paese di pubblicazione: Egitto
Lingua: inglese
ISSN: 1687-6172
Titolo chiave: EURASIP Journal on Advances in Signal Processing (Print)
Titolo proprio: EURASIP Journal on Advances in Signal Processing (Print)
Titolo abbreviato: EURASIP J. Adv. Signal Process. (Print)
Numero volume della rivista-
Fascicolo della rivista-
DOI-
Verificato da referee-
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)-
Parole chiaveDevice free occupancy inference, Occupancy detection, Radio localization, MIMO networks
Link (URL, URI)https://doi.org/10.1186/s13634-018-0571-7
Titolo parallelo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli CNR
    Progetti Europei-
    Allegati
    • Leveraging MIMO-OFDM radio signals for device-free occupancy inference: system design and experiments
      Descrizione: This paper proposed signal processing methods and tools to enable passive body occupancy detection and localization based on the analysis of the channel state information (CSI) collected from MIMO-OFDM radio interfaces (i.e., WiFi devices)