Masking and multipath analysis for unmanned aerial vehicles in an urban environment

Suraj Bijjahalli, Subramanian Ramasamy, Roberto Sabatini

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations


Unmanned Aircraft System (UAS) navigation in urban environments using Global Navigation Satellite System (GNSS) as a primary sensor is limited in terms of accuracy and integrity due to the presence of antenna masking and signal multipath effects. In this paper, a GNSS Aircraft-Based Integrity Augmentation (ABIA) system is presented. This system relies on detailed modeling of signal propagation and multipath effects to produce predictive and reactive alerts (cautions and warnings) in urban environments. The model predictive capability is then used to augment path-planning functionalities in the UAS Traffic Management (UTM) context. The models of the presented system are corroborated by performing simulation case studies in typical urban canyons, wherein positioning integrity is degraded by multipath and masking.

Original languageBritish English
Title of host publication35th DASC Digital Avionics Systems Conference 2016, DASC 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509056002
StatePublished - 7 Dec 2016
Event35th DASC Digital Avionics Systems Conference, DASC 2016 - Sacramento, United States
Duration: 25 Sep 201629 Sep 2016

Publication series

NameAIAA/IEEE Digital Avionics Systems Conference - Proceedings
ISSN (Print)2155-7195
ISSN (Electronic)2155-7209


Conference35th DASC Digital Avionics Systems Conference, DASC 2016
Country/TerritoryUnited States


  • GNSS integrity
  • Masking
  • Multipath
  • Unmanned Aerial Vehicle
  • Urban Environment


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