Results 11 to 20 of about 35,734 (259)
Waveform Parameter Selection for ITS Positioning [PDF]
In this paper, we investigate the performance of mobile vehicle positioning based on signal propagation delay estimation in the uplink case for a realistic propagation environment. In order to optimize the ranging performance, we introduce a parametric waveform.
Walter, Michael +4 more
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The shaping current technology can efficiently and low-costly suppress the relaxation oscillations (ROs) of the direct modulation semiconductor laser (DML) for the high-performance optic system.
Qing-An Ding +8 more
doaj +1 more source
Measures of effectiveness for waveform selection [PDF]
Modern phased array radars, with flexible waveform generation and beam steering capability, are able to adapt their performance to a variety of environments. The ultimate goal of our work is to “close the loop” in radar signal processing by producing algorithms for scheduling beam directions, beam shapes, waveforms and other radar modalities so as to ...
B.F. La Scala, B. Moran
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Model-based optimal action selection for Dyna-Q reverberation suppression cognitive sonar
The Doppler shift of low-speed targets is frequently disturbed by the reverberation Doppler spread clutter under the shallow sea. The clutter is generated by underwater scatterers, which increases the difficulty of Doppler estimation.
Yubin Fu +4 more
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Temporal Difference Learning Waveform Selection
The largest difference between cognitive radar and other adaptive radar is the adaptivity of transmitter in cognitive radar. How to optimally decide or select the radar waveform for next transmission based on the observation of past radar returns is one of the important issues.
Bin Wang 0011 +3 more
openaire +1 more source
Selection and generation of waveforms for differential mobility spectrometry [PDF]
Devices based on differential mobility spectrometry (DMS) are used in a number of ways, including applications as ion prefilters for API-MS systems, as detectors or selectors in hybrid instruments (GC-DMS, DMS-IMS), and in standalone systems for chemical detection and identification.
Evgeny V, Krylov +5 more
openaire +2 more sources
On the Value of Online Learning for Radar Waveform Selection
This paper attempts to characterize the kinds of physical scenarios in which an online learning-based cognitive radar is expected to reliably outperform a fixed rule-based waveform selection strategy, as well as the converse. We seek general insights through an examination of two decision-making scenarios, namely dynamic spectrum access and multiple ...
Charles E. Thornton, R. Michael Buehrer
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INSTANCE – the Italian seismic dataset for machine learning [PDF]
The Italian earthquake waveform data are collected here in a dataset suited for machine learning analysis (ML) applications. The dataset consists of nearly 1.2 million three-component (3C) waveform traces from about 50 000 earthquakes and more than 130 ...
A. Michelini +7 more
doaj +1 more source
AbstractThe role of frequency is very important in electromagnetics since it may significantly change how a material interacts with an incident wave if the frequency spectrum varies. Here, a new kind of microwave window is demonstrated that has the unique property of controlling transmission and reflection based on not only the frequency of an incoming
Hiroki Wakatsuchi +2 more
openaire +3 more sources
Realization and enhancement of detection techniques for multiple-input–multiple-output (MIMO) radar systems require polyphase code sequences with excellent orthogonality characteristics.
Yanjiao Wang, Mingchi Chen
doaj +1 more source

