Recently, several studies have been moving towards the idea to adopt massive arrays for localization and mapping applications thanks to the high scanning resolution achievable. In this framework, this paper investigates the impact of different design parameters in order to maximize the mapping performance while keeping the receiver architecture as simple as possible when a Bayesian approach is used. To this end, thresholding strategies to filter out unwanted received signal components (cleaning operation before soft mapping), e.g. thermal noise, are analyzed together with other design parameters that can operate directly on raw data. Considerations about possible system design configurations are then drawn inspired by results obtained using measured data, which showed a more pronounced impact of the cleaning approach for 1 GHz bandwidth with respect to 3GHz.

Environment mapping with millimeter-wave massive arrays: System design and performance

GUIDI, FRANCESCO;GUERRA, ANNA;DARDARI, DAVIDE;
2016

Abstract

Recently, several studies have been moving towards the idea to adopt massive arrays for localization and mapping applications thanks to the high scanning resolution achievable. In this framework, this paper investigates the impact of different design parameters in order to maximize the mapping performance while keeping the receiver architecture as simple as possible when a Bayesian approach is used. To this end, thresholding strategies to filter out unwanted received signal components (cleaning operation before soft mapping), e.g. thermal noise, are analyzed together with other design parameters that can operate directly on raw data. Considerations about possible system design configurations are then drawn inspired by results obtained using measured data, which showed a more pronounced impact of the cleaning approach for 1 GHz bandwidth with respect to 3GHz.
2016 IEEE Globecom Workshops (GC Wkshps)
1
6
IEEE GLOBECOM WORKSHOPS
Guidi, Francesco; Guerra, Anna; Dardari, Davide; Clemente, Antonio; D'Errico, Raffaele
File in questo prodotto:
File Dimensione Formato  
EnvironmentMapping.pdf

embargo fino al 09/08/2017

Tipo: Postprint
Licenza: Licenza per accesso libero gratuito
Dimensione 675.26 kB
Formato Adobe PDF
675.26 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/587963
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 0
social impact