Results 51 to 60 of about 18,064 (298)

Signal Reconstruction Using Bi-LSTM for Automotive Radar Interference Mitigation

, 2021
Automotive radar has emerged as an important sensor for environmental perception in modern vehicles. A rapid increase in the number of radars present in traffic operating at unregulated frequencies has given rise to a mutual interference problem.
Pettersson, Mats, Javadi, Saleh,, Dahl, Mattias,, Rameez, Muhammad, Javadi, Saleh, Rameez, Muhammad,, Dahl, Mattias, Pettersson, Mats,   +7 more
core   +1 more source

Mitigation of IUI in Automotive Radar Based on OFDM Scheme

IEEE Access
With rapid development of self-driving technology, automotive radars face more challenges, especially in dealing with interference in rush hour traffic.
F. Yousefian, R. Mohseni
doaj   +1 more source

Analysis of passive interference on radio station from AC UHV power

E3S Web of Conferences, 2018
The problems of Electromagnetic Interference in Airborne Intelligence Radar Stations near the AC UHV Transmission Lines is researched in this paper, which is mainly passive interference. And then analyzed the passive interference of AC UHV lines.
GAN Zheyuan, ZHANG Jiangong, ZHAO Jun, Lu ying   +3 more
doaj   +1 more source

Interference‐to‐noise ratio estimation in long‐term evolution passive radar based on cyclic auto‐correlation

Electronics Letters, 2021
This letter considers the interference‐to‐noise ratio (INR) estimation problem in long‐term evolution (LTE)‐based passive bistatic radar. The INR is of great importance in the evaluation of interference level, the prediction of the target detection ...
Haitao Wang, Xiaoyong Lyu, Liping Zhong
doaj   +1 more source

Radar spectrum opportunities for cognitive communications transmission [PDF]

, 2008
In relation to opportunistic access to radar spectrum, the impact of the radar on a communication system is investigated in this paper. This paper illustrates that by exploring the spatial and temporal opportunities in the radar spectrum and therefore ...
Williams, C, Joe McGeehan, Wang, L, Chris Williams, Angela Doufexi, McGeehan, JP, Doufexi, A, Lingfeng Wang   +7 more
core   +1 more source

Multimodal Perception and Machine Learning‐Empowered Human Machine Interfaces With Double‐Network Hydrogel Fibers

Advanced Functional Materials, EarlyView.
This work develops polyacrylamide‐alginate (PAM‐Alg) double‐network hydrogel fibers for multimodal perception and intelligent human‐machine interfaces. The covalent‐ionic network provides high strength, toughness, and stable conductivity. Easily woven into wearables and integrated with soft robots, the fibers enable object and temperature recognitions ...
Yujue Yang, Minyu Qiu, Di Tan, Xinlong Liu, Junze Zhang, Ziyu He, Jing Han, Yuanyuan Gao, Zihua Li, Hong Fu, Bingang Xu   +10 more
wiley   +1 more source

Oxidized MoS2‐Based Multifunctional Memristive Hardware for Energy‐Efficient mmWave Signal Processing and In‐Memory Matrix Multiplication

Advanced Functional Materials, EarlyView.
Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son, Changwoo Pyo, Sungmoon Park, Yoongi Cho, Seungchan Lee, Myungsoo Kim   +5 more
wiley   +1 more source

Sustainable Electrochemical Synthesis of High‐Quality MXenes: Mechanistic Insights, Applications, Challenges, and Technological Prospects

Advanced Functional Materials, EarlyView.
Electrochemical etching provides an eco‐friendly alternative to hazardous HF methods for MXene production. This approach facilitates the selective isolation of the A‐layer from MAX phases with tunable surface terminations. Controlling voltage, electrolytes, temperature, and duration enables the optimal structural integrity. Nevertheless, existing scale
Jagdeep Singh, Madhusudhana M Devadiga, Santosh K. Tiwari, AS Dhaliwal, Gurpreet Singh Selopal   +4 more
wiley   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Ti3C2Tx MXene/Silver Composite Foams For Lightweight, High‐Performance Electromagnetic Interference Shielding and Joule Heating

Advanced Materials Interfaces, EarlyView.
Ultrathin MXene/EMF composite foams achieve a specific shielding efficiency of 749.6 dB.dB·cm3$\mathrm{dB}\cdot {\mathrm{cm}}^{3}$/g, while the silver‐enhanced MXene/Ag/EMF reaches 81.4 dB shielding effectiveness at just 1.0 mm thickness. Both composites exhibit rapid Joule heating, retain stability up to 250∘C$^\circ{\rm C}$, and withstand 1000 ...
Abdullah A. Mahmood, Mingxuan Li, Vahid Rad, Mehdi Zarei, Chen‐Yu Yeh, Masoud Soroush, Guangyong Li, Paul W. Leu   +7 more
wiley   +1 more source