Search Results for author: Todd E. Humphreys

Found 12 papers, 0 papers with code

Ziv-Zakai-Optimal OFDM Resource Allocation for Time-of-Arrival Estimation

no code implementations19 Mar 2024 Andrew M. Graff, Todd E. Humphreys

This paper is the first to solve for these ZZB-optimal allocations in the context of OFDM signals, under integer resource allocation constraints, and under both coherent and noncoherent reception.

Purposeful Co-Design of OFDM Signals for Ranging and Communications

no code implementations6 Sep 2023 Andrew Graff, Todd E. Humphreys

Analysis based on the derived bounds demonstrates how Pareto-optimal design choices can be made to optimize the communication throughput, probability of outage, and ranging variance.

Signal Identification and Entrainment for Practical FMCW Radar Spoofing Attacks

no code implementations20 Jul 2023 Andrew M. Graff, Todd E. Humphreys

This paper proposes a method of passively estimating the parameters of frequency-modulated-continuous-wave (FMCW) radar signals with a wide range of structural parameter values and analyzes how a malicious actor could employ such estimates to track and spoof a target radar.

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.

Carrier-phase and IMU based GNSS Spoofing Detection for Ground Vehicles

no code implementations28 Feb 2022 Zachary Clements, James E. Yoder, Todd E. Humphreys

This paper's spoofing detection technique capitalizes on the carrier-phase fixed-ambiguity residual cost produced by a well-calibrated carrier-phase-differential GNSS (CDGNSS) estimator that is tightly coupled with a low-cost IMU.

Low-Cost Inertial Aiding for Deep-Urban Tightly-Coupled Multi-Antenna Precise GNSS

no code implementations27 Jan 2022 James E. Yoder, Todd E. Humphreys

A vehicular pose estimation technique is presented that tightly couples multi-antenna carrier-phase differential GNSS (CDGNSS) with a low-cost MEMS inertial sensor and vehicle dynamics constraints.

Pose Estimation

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.

Position Translation

Deep urban unaided precise Global Navigation Satellite System vehicle positioning

no code implementations23 Jun 2019 Todd E. Humphreys, Matthew J. Murrian, Lakshay Narula

This paper presents the most thorough study to date of vehicular carrier-phase differential GNSS (CDGNSS) positioning performance in a deep urban setting unaided by complementary sensors.

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