Results 121 to 130 of about 16,631 (258)

Rao and Wald Tests for Moving Target Detection in Forward Scatter Radar

open access: yesRemote Sensing
This paper deals with adaptive moving target detection for a forward scatter radar in complex Gaussian noise. The echoes received by the forward scatter radar include not only the noise and the possible target signals but also the direct signals.
Zeyu Wang   +3 more
doaj   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

Extended Noise Analysis Model of CW-type Radar Sensors with IQ Down-Conversion [PDF]

open access: yesRadioengineering, 2018
CW-type structures belong to the most frequently employed radars, especially in a form of small sensors used, for example, in security applications or automotive industry.
V. Jenik, P. Hudec, P. Panek
doaj  

60 GHz Low Phase Noise Radar Front-End Design for the Detection of Micro Drones

open access: yes, 2022
S.25-28A concept of a radar front-end for the detection of micro drones is presented. Challenges for successful detection are identified and an innovative solution is proposed based on a radar fence concept.
Krebs, Christian   +5 more
core  

Recent Advances in Programmable Metasurfaces and Meta‐Devices

open access: yesAdvanced Electronic Materials, EarlyView.
Programmable metasurfaces enable various novel functionalities by dynamically tuning electromagnetic wavefronts. This article provides a comprehensive review of recent advances in microwave and terahertz programmable metasurfaces, covering electrical, thermal, optical, and mechanical control mechanisms.
Linda Shao   +4 more
wiley   +1 more source

Joint transceive beamforming for multistatic radar system by semi‐definite relaxation method

open access: yesIET Radar, Sonar & Navigation
The joint transmit and receive beamforming algorithm has been envisioned to optimise the target's signal‐to‐interference‐plus‐noise ratio by co‐designing the transmit and receive beamforming vectors simultaneously.
Haoran Li, Jun Geng, Junhao Xie
doaj   +1 more source

A simulation of the single scan accuracy of a two-dimensional pulsed surveillance radar

open access: yes, 1991
Bibliography: leaves 194-198.The following dissertation considers the single-scan two-dimensional positional accuracy of a pulsed surveillance radar. The theoretical aspects to the positional accuracy are considered and a generalized analytical approach ...
Bras, Johan J
core  

2D Materials Empowered Radar Absorbing Materials: A Review

open access: yesAdvanced Electronic Materials, EarlyView.
Recent progress in 2D materials empowered radar absorbing materials (RAMs) is reviewed, highlighting four key structural design strategies that enhance electromagnetic wave absorption. Porous structures, heterogeneous interfaces, printed metamaterials, and tunable metasurfaces are compared in terms of their governing physics, fabrication complexity ...
Yujie Zhong   +4 more
wiley   +1 more source

Research on Automotive Radar Mutual Interference Mitigation Method based on V2X Communication Assistance

open access: yesEURASIP Journal on Wireless Communications and Networking
This article analyzes the interference issues between radar and radar, radar and communication, and communication and communication in a vehicle network equipped with a radar communication integrated system.
Yangshui Gao   +5 more
doaj   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

open access: yesAdvanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy