Comprehensive Review: Effectiveness of MIMO and Beamforming Technologies in Detecting Low RCS UAVs
Unmanned aerial vehicles (UAVs) are increasing in popularity in various sectors,
simultaneously rasing the challenge of detecting those with low radar cross sections (RCS) …
simultaneously rasing the challenge of detecting those with low radar cross sections (RCS) …
[HTML][HTML] Frequency-Modulated Continuous-Wave Radar Perspectives on Unmanned Aerial Vehicle Detection and Classification: A Primer for Researchers with …
Unmanned Aerial Vehicles (UAVs) represent a rapidly increasing technology with profound
implications for various domains, including surveillance, security, and commercial …
implications for various domains, including surveillance, security, and commercial …
Small fixed-wing UAV radar cross-section signature investigation and detection and classification of distance estimation using realistic parameters of a commercial …
IK Kapoulas, A Hatziefremidis, AK Baldoukas… - Drones, 2023 - mdpi.com
Various types of small drones constitute a modern threat for infrastructure and hardware, as
well as for humans; thus, special-purpose radar has been developed in the last years in …
well as for humans; thus, special-purpose radar has been developed in the last years in …
Field trial of a coherent, widely distributed, dual-band photonics-based MIMO radar with ISAR imaging capabilities
Soon after its introduction in the communications domain, the novel concept of multiple input–
multiple output (MIMO) has been making its way also into the radar world. A new generation …
multiple output (MIMO) has been making its way also into the radar world. A new generation …
Generating synthetic data for deep learning-based drone detection
Drone detection is an important yet challenging task in the context of object detection. The
development of robust and reliable drone detection systems requires large amounts of …
development of robust and reliable drone detection systems requires large amounts of …
Advance and Refinement: The Evolution of UAV Detection and Classification Technologies
V Semenyuk, I Kurmashev, A Lupidi, D Alyoshin… - arXiv preprint arXiv …, 2024 - arxiv.org
This review provides a detailed analysis of the advancements in unmanned aerial vehicle
(UAV) detection and classification systems from 2020 to today. It covers various detection …
(UAV) detection and classification systems from 2020 to today. It covers various detection …
Enhanced UAV Detection and Classification Using Machine Learning and MIMO Radars
In the present investigation, the impacts of antenna field of view (FOV) on the accuracy of
machine learning (ML) models utilized for the classification of various unmanned air vehicle …
machine learning (ML) models utilized for the classification of various unmanned air vehicle …
Ground clutter mitigation for slow-time MIMO radar using independent component analysis
The detection of low, slow and small (LSS) targets, such as small drones, is a developing
area of research in radar, wherein the presence of ground clutter can be quite challenging …
area of research in radar, wherein the presence of ground clutter can be quite challenging …
[HTML][HTML] Multiple-Input Multiple-Output Microwave Tomographic Imaging for Distributed Photonic Radar Network
This paper deals with the imaging problem from data collected by means of a microwave
photonics-based distributed radar network. The radar network is leveraged on a centralized …
photonics-based distributed radar network. The radar network is leveraged on a centralized …
Slow-Time MIMO Waveform Design Using Pulse-Agile-Phase-Coding for Range Ambiguity Mitigation
This paper proposed a Pulse-Agile-Phase-Coding slow-time MIMO (PAPC-st-MIMO)
waveform, where the phase-coded signal is utilized as the intra-pulse modulation of the slow …
waveform, where the phase-coded signal is utilized as the intra-pulse modulation of the slow …