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A Survey on Detection, Classification, and Tracking of Aerial Threats using Radar and Communications Systems
Radar systems are further divided into conventional and modern radar systems, while communication systems can be used for joint communications and sensing (JC&S) in active mode and act as a source of illumination to passive radars for DCT-U.
Enhanced Index-Based Feedback Overhead Reduction for WLANs
Compressed beamforming algorithm is used in the current Wi-Fi standard to reduce the beamforming feedback overhead (BFO).
An Unsupervised Machine Learning Scheme for Index-Based CSI Feedback in Wi-Fi
We explore several methods that consider different representations of the data in the candidate set.
Kriging-Based 3-D Spectrum Awareness for Radio Dynamic Zones Using Aerial Spectrum Sensors
In particular, we introduce a 3D Kriging interpolation technique that uses realistic 3D correlation models of the signal power extracted from extensive measurements carried out at the NSF AERPAW platform.
Propagation Measurements and Coverage Analysis for mmWave and Sub-THz Frequency Bands with Transparent Reflectors
The emerging 5G and future 6G technologies are envisioned to provide higher bandwidths and coverage using millimeter wave (mmWave) and sub-Terahertz (THz) frequency bands.
Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning
The performance of this method is compared to learning from a demonstration technique called behavioral cloning (BC) using a supervised learning approach.
RF SSSL by an Autonomous UAV with Two-Ray Channel Model and Dipole Antenna Patterns
In this paper, the efficacy of the proposed localization approaches is examined based on these two main localization requirements through computer simulations.
Rank and Condition Number Analysis for UAV MIMO Channels Using Ray Tracing
In this paper, we use extensive ray tracing simulations to investigate channel rank, condition number, and signal coverage distribution for air-to-ground MIMO channels.
Optimizing Energy-Harvesting Hybrid VLC/RF Networks with Random Receiver Orientation
The optimization is solved through an exhaustive search, and the results show that a higher data rate can be achieved by solving the joint problem of DC bias and time duration compared to solely optimizing the DC bias.
RF Signal Source Search and Localization Using an Autonomous UAV with Predefined Waypoints
The use of unmanned aerial vehicles (UAVs) for signal source search and localization (SSSL) can have significant advantages when compared to terrestrial-based approaches, due to the ease of capturing RF signals at higher altitudes and the autonomous 3D navigation capabilities of UAVs.
Spectrum Monitoring and Analysis in Urban and Rural Environments at Different Altitudes
Due to the scarcity of spectrum resources, the emergence of new technologies and ever-increasing number of wireless devices operating in the radio frequency spectrum lead to data congestion and interference.
Analysis of UAV Radar and Communication Network Coexistence with Different Multiple Access Protocols
Unmanned aerial vehicles (UAVs) are expected to be used extensively in the future for various applications, either as user equipment (UEs) connected to a cellular wireless network, or as an infrastructure extension of an existing wireless network to serve other UEs.
A Survey on Detection, Tracking, and Classification of Aerial Threats using Radars and Communications Systems
Finally, limitations of radar systems and comparison with other techniques that do not rely on radars for detection, tracking, and classification of aerial threats are provided.
Mobility State Detection of Cellular-Connected UAVs based on Handover Count Statistics
Afterward, we derive the Cramer-Rao lower bound (CRLB) for the speed estimate of a UAV, and also provide a simple biased estimator for the UAV's speed which depends on the GBS density and HOC measurement period.
Indoor Propagation Measurements with Sekisui Transparent Reflectors at 28/39/120/144 GHz
The measurement results suggest that the transparent reflector, apart from an obvious advantage of transparency, has a higher penetration loss than the common indoor materials (excluding metal) and performs similarly to metal in terms of reflection.
Intelligent Feedback Overhead Reduction (iFOR) in Wi-Fi 7 and Beyond
The IEEE 802. 11 standard based wireless local area networks (WLANs) or Wi-Fi networks are critical to provide internet access in today's world.
Wireless Connectivity and Localization for Advanced Air Mobility Services
By serving as an analog to traffic signal lights, communication signaling for drone to drone communications holds the key to the success of advanced air mobility (AAM) in both urban and rural settings.
Comparative Analysis of Radar Cross Section Based UAV Classification Techniques
The study concludes that while the SL algorithms achieved good classification accuracy, the computational time was relatively long when compared to the ML and DL algorithms.
Doors in the Sky: Detection, Localization and Classification of Aerial Vehicles using Laser Mesh
The stealth technology and unmanned aerial vehicles (UAVs) are expected to dominate current and future aerial warfare.
60 GHz Outdoor Propagation Measurements and Analysis Using Facebook Terragraph Radios
In this work, we investigated the propagation and scattering behavior of 60 GHz mmWave signals in outdoor environments at a travel distance of 98 m for an aerial link (rooftop to rooftop), and 147 m for a ground link (light-pole to light-pole).
Experimental Study of Outdoor UAV Localization and Tracking using Passive RF Sensing
First, the Keysight sensor detects the UAV by comparing the received RF signature with various other UAVs' RF signatures in the Keysight database using an envelope detection algorithm.
Coverage Hole Detection for mmWave Networks: An Unsupervised Learning Approach
The utilization of millimeter-wave (mmWave) bands in 5G networks poses new challenges to network planning.
Ensuring Reliable Connectivity to Cellular-Connected UAVs with Up-tilted Antennas and Interference Coordination
Since this is an NP-hard problem, we propose a genetic algorithm (GA) based heuristic method to optimize the UT angles of these antennas.
Channel Rank Improvement in Urban Drone Corridors Using Passive Intelligent Reflectors
Multiple-input multiple-output (MIMO) techniques can help in scaling the achievable air-to-ground (A2G) channel capacity while communicating with drones.
Semi-supervised Learning Framework for UAV Detection
The use of supervised learning with various sensing techniques such as audio, visual imaging, thermal sensing, RADAR, and radio frequency (RF) have been widely applied in the detection of unmanned aerial vehicles (UAV) in an environment.
Sub-Terahertz and mmWave Penetration Loss Measurements for Indoor Environments
In this work, we measured the penetration loss and the attenuation of several common constructional materials at mmWave (28 and 39 GHz) and sub-THz (120 and 144 GHz) bands.
Wavelet Transform Analytics for RF-Based UAV Detection and Identification System Using Machine Learning
By using the wavelet scattering transform to extract signatures (scattergrams) from the steady state of the RF signals at 30 dB SNR, and using these scattergrams to train SqueezeNet, we achieved an accuracy of 98. 9% at 10 dB SNR.
Radar Cross Section Based Statistical Recognition of UAVs at Microwave Frequencies
This paper presents a radar cross-section (RCS)-based statistical recognition system for identifying/ classifying unmanned aerial vehicles (UAVs) at microwave frequencies.
28 GHz Indoor and Outdoor Propagation Analysis at a Regional Airport
What is more, in non-line-of-sight (NLOS) propagation, the attenuation of mmWave is larger compared to the lower frequencies, which can seriously degrade the performance.
Base Station and Passive Reflectors Placement for Urban mmWave Networks
Our simulation results show that considering the first-order reflections in planning the mmWave network helps reduce the number of PMRs required to cover the NLoS area and the gNB placement aided with PMRs requires fewer gNBs to cover the same area, which in turn reduces the deployment cost.
Channel Prediction for mmWave Ground-to-Air Propagation under Blockage
Ground-to-air (GA) communication using unmanned aerial vehicles (UAVs) has gained popularity in recent years and is expected to be part of 5G networks and beyond.
EMR: A New Metric to Assess the Resilience of Directional mmWave Channels to Blockages
Millimeter-wave (mmWave) communication systems require narrow beams to increase communication range.
RF-Based Low-SNR Classification of UAVs Using Convolutional Neural Networks
As the SNR decreases, this approach fails dramatically because the information in the transient is lost in the noise, and the envelope is distorted heavily.
Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming
Deployment of unmanned aerial vehicles (UAVs) is recently getting significant attention due to a variety of practical use cases, such as surveillance, data gathering, and commodity delivery.
Attenuation of Several Common Building Materials in Millimeter-Wave Frequency Bands: 28, 73 and 91 GHz
Typical building material attenuations in these high frequency ranges are of interest for link budget calculations.
Heuristic Approach for Jointly Optimizing FeICIC and UAV Locations in Multi-Tier LTE-Advanced Public Safety HetNet
Our simulation results show the heuristic algorithms outperform the brute-force technique and achieve better peak values of coverage probability and 5pSE.
RSS-Based Q-Learning for Indoor UAV Navigation
Received signal strength (RSS) at the UAV, which is a function of the UAV and source positions, is fed to a Q-learning algorithm and the UAV is navigated to the vicinity of the source.
