Results 101 to 110 of about 1,363 (214)

Spectrum sensing for cognitive radio and radar systems [PDF]

, 2009
The use of the radio frequency spectrum is increasing at a rapid rate. Reliable and efficient operation in a crowded radio spectrum requires innovative solutions and techniques.
Lundén, Jarmo
core  

Monostatic Waveform-Domain Passive Radar for Detection and Localization Using a Sparse Circular Array with Deterministic Frequency Dither

Sensors
This paper presents the RaDICAL monostatic passive radar framework for target detection and localization using a sparse uniform circular array (SUCA), multifrequency dither, and dictionary-based waveform processing.
Vladimir Volman, James A. Nessel
doaj   +1 more source

Fully Polarimetric Radar Cross‐Section and High‐Resolution Range Profile Co‐Modulation via Diversely Time‐Modulated Metasurface

Nanophotonics, Volume 15, Issue 14, 27 July 2026.
A diversely time‐modulated metasurface enables broadband co‐modulation of fully polarimetric radar cross section and high‐resolution range profiles. By integrating anti‐parallel PIN diodes and programmable temporal coding, the platform dynamically redistributes scattering among HH/VV and HV/VH channels, generating tunable target weakening, false ...
Hantao Xu, Jinxing Guo, Xinyang Mao, Shijian Yu, Yihao Xu, Peng You, Bin Zheng, Dongfang Guan, Zhen Liu, Yongxiang Liu   +9 more
wiley   +1 more source

Waveform design compensation for moving extended targets [PDF]

, 2013
The Cognitive Radar (CR) is a new field for radar research. Its basic characteristics are introduced in this thesis. Two specific types of waveforms are used in this research; wideband and an adaptive waveform called probability weighted energy (PWE ...
Mourtzakis, Emmanouil
core  

Convolutional Neural Networks for Automatic Cognitive Radio Waveform Recognition

IEEE Access, 2017
Cognitive radio technology is an important branch in the field of wireless communication, and automatic identification is a major part of cognitive radio technology. Convolutional neural network (CNN) is an advanced neural network, which is the forefront
Ming Zhang, Ming Diao, Limin Guo
doaj   +1 more source

Cascading Rupture of a Conjugate Oblique Faulting Rift in the 2025 Dingri Southern Tibetan Plateau Earthquake: A Typical Slow‐to‐Fast Process

Geophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract The 2025 Mw7.1 Dingri earthquake is the largest normal‐faulting event in southern Tibetan plateau recorded with near‐field observations. By integrating back‐projection imaging, multi‐point‐source inversion, and finite‐fault modeling, we reveal that the rupture propagated at variable speeds in a cascading manner across a complex conjugate fault
Qi Li, Gang Liu, Zhaosheng Nie, Weilai Wang, Mu Lin, Chengyu Liu, Chenyang Zhang, Bin Zhao, Xuejun Qiao   +8 more
wiley   +1 more source

Cognitive radar waveforms for frequency dense environments [PDF]

, 2017
© 2017 IEEE. A wideband cognitive radar operating in spectrally dense environments needs to use special adaptive waveforms, in order to mitigate the effect of the interferences caused by a number of concurrent narrow band communication services.
La Manna, Marco, Marco La Manna, La Manna, Mario, Mario La Manna   +3 more
core   +1 more source

Noninvasive Intelligent Brain‐Metasurface System for Real‐Time Electromagnetic Wave Manipulation

Nanophotonics, Volume 15, Issue 13, 13 July 2026.
A noninvasive intelligent brain–computer interface (BCI) is integrated with a reconfigurable metasurface to establish a direct neural‐to electromagnetic transduction pathway for real time, multimodal wave control. By combining convolutional‐neural‐network‐based decoding of motor‐imagery electroencephalography (EEG) signals with threshold‐based ...
Xiao Hai, Ruiyang Shen, Xiaoyi Wang, Guo‐Min Yang   +3 more
wiley   +1 more source

LPI Radar Waveform Modulation Recognition Based on Improved EfficientNet

Electronics
To address the challenge of low modulation recognition accuracy for Low Probability of Intercept (LPI) radar waveforms under low Signal-to-Noise Ratio (SNR) conditions—a critical limitation in current radar signal processing research—this study proposes a novel recognition framework anchored in an improved EfficientNet model.
Yuzhi Qi, Lei Ni, Xun Feng, Hongquan Li, Yujia Zhao   +4 more
openaire   +1 more source

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

Advanced Functional Materials, Volume 36, Issue 58, 20 July 2026.
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