Impact analysis of DRFM-based active jamming to radar detection efficiency
The Journal of Engineering, 2019 The influence of DRFM active jamming technology on pulse compression coherent radar is studied here. By establishing radar signal detection model and introducing radar equation, the influence of signal produced by DRFM on the detection performance of ...
Wei Liu, Jin Meng, Liang Zhou
doaj +2 more sources
Intelligent Reflecting Surface-Aided Electromagnetic Stealth Against Radar Detection [PDF]
IEEE Transactions on Signal Processing, 2023 While traditional electromagnetic stealth materials/metasurfaces can render a target virtually invisible to some extent, they lack flexibility and adaptability, and can only operate within a limited frequency and angle/direction range, making it ...
Beixiong Zheng +3 more
semanticscholar +1 more source
Spatial Diversity in Radar Detection via Active Reconfigurable Intelligent Surfaces [PDF]
IEEE Signal Processing Letters, 2022 Active reconfigurable intelligent surfaces (RISs) are a novel and promising technology that allows controlling the radio propagation environment while compensating for the product path loss along the RIS-assisted path.
Mohamed Rihan +3 more
semanticscholar +1 more source
Foundations of MIMO Radar Detection Aided by Reconfigurable Intelligent Surfaces [PDF]
IEEE Transactions on Signal Processing, 2021 A reconfigurable intelligent surface (RIS) is a nearly-passive flat layer made of inexpensive elements that can add a tunable phase shift to the impinging electromagnetic wave and are controlled by a low-power electronic circuit. This paper considers the
S. Buzzi +3 more
semanticscholar +1 more source
Deep Instance Segmentation With Automotive Radar Detection Points [PDF]
IEEE Transactions on Intelligent Vehicles, 2021 Automotive radar provides reliable environmental perception in all-weather conditions with affordable cost, but it hardly supplies semantic and geometry information due to the sparsity of radar detection points.
Jianan Liu +6 more
semanticscholar +1 more source
Adaptive Radar Detection and Bearing Estimation in the Presence of Unknown Mutual Coupling [PDF]
IEEE Transactions on Signal Processing, 2022 This paper deals with joint adaptive radar detection and target bearing estimation in the presence of mutual coupling among the array elements.
A. Aubry +3 more
semanticscholar +1 more source
Radar2: Passive Spy Radar Detection and Localization Using COTS mmWave Radar [PDF]
IEEE Transactions on Information Forensics and Security, 2022 Millimeter-wave (mmWave) radars have found applications in a wide range of domains, including human tracking, health monitoring, and autonomous driving, for their unobtrusive nature and high range accuracy.
Yanlong Qiu +4 more
semanticscholar +1 more source
Contrastive Learning for Automotive mmWave Radar Detection Points Based Instance Segmentation [PDF]
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022 The automotive mmWave radar plays a key role in advanced driver assistance systems (ADAS) and autonomous driving. Deep learning-based instance segmentation enables real-time object identification from the radar detection points.
Weiyi Xiong +5 more
semanticscholar +1 more source
Radar Detection Performance Prediction Using Measured UAVs RCS Data
IEEE Transactions on Aerospace and Electronic Systems, 2023 This article presents measurements of radar cross section (RCS) of five unmanned aerial vehicles (UAVs), comprising both consumer grade and professional small drones, collected in a semicontrolled environment as a function of azimuth aspect angle ...
M. Rosamilia +4 more
semanticscholar +1 more source
RADAR: Robust AI-Text Detection via Adversarial Learning [PDF]
Neural Information Processing Systems, 2023 Recent advances in large language models (LLMs) and the intensifying popularity of ChatGPT-like applications have blurred the boundary of high-quality text generation between humans and machines.
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
semanticscholar +1 more source