Works (4)

Updated: August 29th, 2023 05:00

2023 journal article

Mobility State Detection of Cellular-Connected UAVs Based on Handover Count Statistics

IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY, 4, 490–504.

By: M. Chowdhury n, P. Sinha n, K. Mahler & I. Guvenc n

author keywords: 3GPP; advanced aerial mobility (AAM); antenna radiation; Cramer-Rao lower bound; estimation; minimum variance unbiased (MVU); unmanned aerial vehicle (UAV)
TL;DR: An approximation to the probability mass function of handover count (HOC) as a function of a cellular-connected UAV's height and velocity, HOC measurement time window, and different ground base station (GBS) densities is introduced. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, ORCID
Added: July 18, 2023

2022 journal article

Impact of Antenna Pattern on TOA Based 3D UAV Localization Using a Terrestrial Sensor Network

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 71(7), 7703–7718.

By: P. Sinha n & I. Guvenc n

author keywords: Three-dimensional displays; Location awareness; Dipole antennas; Antenna measurements; Autonomous aerial vehicles; Antenna radiation patterns; Wireless sensor networks; Antenna pattern; Cramer-Rao lower bound (CRLB); drone localization; TDOA; unauthorized UAV
TL;DR: The fundamental limits of the 3D localization of unmanned aerial vehicles (UAVs) in conjunction with the effects of 3D antenna radiation patterns are explored and a multi-antenna signal acquisition technique is proposed that mitigates the accuracy degradation due to the antenna pattern mismatches. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: July 16, 2022

2022 article

Neural Network Based Tracking of Maneuvering Unmanned Aerial Vehicles

2022 56TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, pp. 380–386.

By: P. Sinha n, H. Krim n & I. Guvenc n

author keywords: Adaptive filtering; change point detection; maneuvering target tracking; neural network; nonlinear data-driven motion model
TL;DR: This work builds a data driven adaptive filtering algorithm that improves the tracking accuracy by using a recurrent neural network (RNN)-based motion model that is trained on realistic simulated data generated from a medium fidelity simulink model of a fixed-wing UAV. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: June 5, 2023

2021 journal article

Fundamental Limits on Detection of UAVs by Existing Terrestrial RF Networks

IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2, 2111–2130.

By: P. Sinha*, I. Guvenc n & M. Gursoy*

author keywords: Drones; Sensors; Radio frequency; Sensor phenomena and characterization; Interference; Three-dimensional displays; Geometry; A2G channel; beam tilt; directional antenna pattern; drone detection; LoS; NLoS; stochastic geometry
TL;DR: An analytical framework is developed that provides the fundamental limits on the network-wide drone detection probability and demonstrates the impact of the sensor density, beam tilt angle, half power beam width (HPBW) and different degrees of LoS dominance, on the projected detection performance. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: September 27, 2021

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