Search Results for author: Peter A. Iannucci

Found 6 papers, 0 papers with code

Signal Structure of the Starlink Ku-Band Downlink

no code implementations20 Oct 2022 Todd E. Humphreys, Peter A. Iannucci, Zacharias Komodromos, Andrew M. Graff

We develop a technique for blind signal identification of the Starlink downlink signal in the 10. 7 to 12. 7 GHz band and present a detailed picture of the signal's structure.

Downlink Analysis of LEO Multi-Beam Satellite Communication in Shadowed Rician Channels

no code implementations29 Jul 2021 Eunsun Kim, Ian P. Roberts, Peter A. Iannucci, Jeffrey G. Andrews

The coming extension of cellular technology to base-stations in low-earth orbit (LEO) requires a fresh look at terrestrial 3GPP channel models.

Fused Low-Earth-Orbit GNSS

no code implementations25 Sep 2020 Peter A. Iannucci, Todd E. Humphreys

Non-cooperative use of LEO signals for PNT is an option, but cooperation with the constellation operator ("fusion" with its communications mission) eases the burden of tracking a dense, low-altitude constellation from the ground and enables a receiver to produce single-epoch stand-alone PNT solutions.

All-Weather sub-50-cm Radar-Inertial Positioning

no code implementations9 Sep 2020 Lakshay Narula, Peter A. Iannucci, Todd E. Humphreys

Deployment of automated ground vehicles beyond the confines of sunny and dry climes will require sub-lane-level positioning techniques based on radio waves rather than near-visible-light radiation.

First results from three years of GNSS Interference Monitoring from Low Earth Orbit

no code implementations9 Sep 2020 Matthew J. Murrian, Lakshay Narula, Peter A. Iannucci, Scott Budzien, Brady W. O'Hanlon, Mark L. Psiaki, Todd E. Humphreys

Observation of terrestrial GNSS interference (jamming and spoofing) from low-earth orbit (LEO) is a uniquely effective technique for characterizing the scope, strength, and structure of interference and for estimating transmitter locations.

Automotive-Radar-Based 50-cm Urban Positioning

no code implementations2 May 2020 Lakshay Narula, Peter A. Iannucci, Todd E. Humphreys

Deployment of automated ground vehicles (AGVs) beyond the confines of sunny and dry climes will require sub-lane-level positioning techniques based on radio waves rather than near-visible-light radiation.

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