Results 61 to 70 of about 2,628 (189)
Waveform design for cognitive radar in presence of jammer using Stackelberg game
With the development of modern electronic warfare, the jammer is becoming smarter than before and can be able to take actions according to the intercepted radar waveform.
Kang Li +3 more
doaj +1 more source
A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen +3 more
wiley +1 more source
Power Allocation Strategies for MIMO Radar Waveform Design
The role of waveform design is central to effective radar resource management for state-of-the art radar systems. The waveform shape employed by any radar system has always been a key factor in determining the performance and application. The design of
A. Merline, S. J. Thiruvengadam
doaj
Overview of Radar Jamming Waveform Design
Radar jamming waveform design is a vital part of radar jamming. Over seven to eight decades of evolution, the field has transitioned from noise signal design to coherent jamming signal design, resulting in a multitude of complex jamming styles capable of
Yu Pan +4 more
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ABSTRACT Ancient Olympia was one of the most important sanctuaries and the venue for the Olympic Games in Greek and Roman times. Its remains are located in the Olympia Terrace (Peloponnese, Greece) at the present‐day confluence of the rivers Alpheios and Kladeos at the base of Mount Kronos.
Sarah Bäumler +10 more
wiley +1 more source
Information theoretic waveform design with applications to adaptive‐on‐transmit radar
The marginal Fisher information (MFI) metric is used to design waveforms for the sake of informationally optimal adaptive‐on‐transmit radar operation. A framework for MFI waveform design is developed and the Polyphase‐Coded FM (PCFM) waveform model is ...
Daniel B. Herr +2 more
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Recognition of Radar Emitters with Agile Waveform Based on Hybrid Deep Neural Network and Attention Mechanism [PDF]
With the increasing complexity of the electromagnetic environment and the continuous development of radar technology, more and more modern digital programmable radars using agile waveform will appear in the future battlefield.
Y. Feng +6 more
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Robust Waveform Design for Multistatic Cognitive Radars
In this paper, we propose robust waveform techniques for multistatic cognitive radars in a signal-dependent clutter environment. In cognitive radar design, certain second order statistics such as the covariance matrix of the clutter, are assumed to be known.
Gaia Rossetti, Sangarapillai Lambotharan
openaire +2 more sources
This study employed an adaptive iterative strategy combining machine learning algorithms, domain knowledge, experimental design, and experimental feedback to aim to precisely and quickly discover high‐entropy ceramics with excellent energy storage performance.
Haowen Liu +4 more
wiley +1 more source
SINR- and MI-Based Maximin Robust Waveform Design
Due to the uncertainties of radar target prior information in the actual scene, the waveform designed based on radar target prior information cannot meet the needs of detection and parameter estimation performance.
Bin Wang +3 more
doaj +1 more source

