Bayesian CFAR Detector in Weibull Clutter via Interference Control

X Zhu, C Yang, C Zhou, Z Shi - 2023 IEEE/CIC International …, 2023 - ieeexplore.ieee.org
Bayesian predictive inference plays an important role in radar constant false alarm rate
(CFAR) detection, which produces an adaptive target detection model to achieve CFAR …

[Retracted] Robust Transmit Beamforming Algorithm for Low‐Altitude Slow‐Speed Small Target Detection

S Jin, H Li, P Wang, Y Shen… - Computational …, 2022 - Wiley Online Library
Strong ground clutter echoes make it difficult to detect low‐altitude slow‐speed small (LSS)
targets. To suppress ground clutter effectively in LSS target detection, a robust transmit …

Scenario-Based Drone Detection and Identification System for Real-Time Industrial Facility Aerial Surveillance and Safety

SO Ajakwe, VU Ihekoronye, DS Kim… - 한국통신학회학술대회 …, 2022 - dbpia.co.kr
The security of key and critical infrastructures is crucial for uninterrupted industrial process
flow needed in strategic management as these facilities are major targets of invaders. In this …

RF Signal Classification-based Drone Identification with Multimodal Database

S Mao, N Yu, M Li, C Zhou, Z Shi - 2023 IEEE 23rd …, 2023 - ieeexplore.ieee.org
The aim of this paper is to conduct a comprehensive review of existing UAV classification
and identification methods. We will analyze the evolution of these methods and propose an …

Frequency-based Drone Detection using I-Hawk

CC Sai, CB Gowtham, SS Imambi… - … and Smart Energy …, 2023 - ieeexplore.ieee.org
Drones or Unmanned Aerial Vehicles (UAVs) have a wide range of uses in fields such as
agriculture, delivery, search and rescue, and surveying. They can be incredibly beneficial …

Radar UAV and bird signature comparisons with micro-Doppler

M Ritchie, N Peters, C Horne - 2021 - discovery.ucl.ac.uk
This chapter reviews the similarities and differences between micro Unmanned Aerial
Vehicles (UAVs), also referred to as drones, and bird targets from the signals they present to …

A Training-time Friendly Network for Real-time Drone Detection

M Li, S Mao, H Wang, Z Shi… - 2023 IEEE/CIC …, 2023 - ieeexplore.ieee.org
The rapid development of the unmanned aerial vehicle (UAV) market poses potential threats
to public safety and personal privacy, and vision sensors are widely deployed to detect …

Internet of Things: concepts, applications, and challenges

V Sharma, V Sharma, N Mishra - … the Convergence of Big Data and …, 2018 - igi-global.com
Abstract Recently, Internet of Things (IoT) has aroused great interest among the educational,
scientific research, and industrial communities. Researchers affirm that IoT environments will …

A general acoustic drone detection using noise reduction preprocessing

HY Kang, K Lee - Journal of the Korea Institute of Information …, 2022 - koreascience.kr
As individual and group users actively use drones, the risks (Intrusion, Information leakage,
and Sircraft crashes and so on) in no-fly zones are also increasing. Therefore, it is necessary …

Uav detection and localization system using an interconnected array of acoustic sensors and machine learning algorithms

FRE Fagiani - 2021 - search.proquest.com
Abstract The Unmanned Aerial Vehicles (UAV) technology has evolved exponentially in
recent years. Smaller and less expensive devices allow a world of new applications in …