Introduction to Noise Radar and Its Waveforms [PDF]
In the system-level design for both conventional radars and noise radars, a fundamental element is the use of waveforms suited to the particular application. In the military arena, low probability of intercept (LPI) and of exploitation (LPE) by the enemy
Francesco De Palo +4 more
doaj +6 more sources
Full recovery of ultrafast waveforms lost under noise [PDF]
Extracting weak, ultrafast single-shot waveforms from a noisy background has critical uses in many applications. Here, the authors present a method to enhance signals and recover arbitrary waveforms from very noisy backgrounds by manipulating the ...
Benjamin Crockett +3 more
doaj +4 more sources
Low-PAPR Waveforms with Shaped Spectrum for Enhanced Low Probability of Intercept Noise Radars
Noise radars employ random waveforms in their transmission as compared to traditional radars. Considered as enhanced Low Probability of Intercept (LPI) radars, they are resilient to interference and jamming and less vulnerable to adversarial exploitation
Kubilay Savci +2 more
doaj +2 more sources
Mobile Communications Beyond 52.6 GHz: Waveforms, Numerology, and Phase Noise Challenge [PDF]
In this article, the first considerations for the 5G New Radio (NR) physical layer evolution to support beyond 52.6GHz communications are provided. In addition, the performance of both OFDM based and DFT-s-OFDM based networks are evaluated with special ...
Levanen, Toni +4 more
core +4 more sources
Noise Radar Technology: Waveforms Design and Field Trials [PDF]
Performance of continuous emission noise radar systems are affected by the sidelobes of the output of the matched filter, with significant effects on detection and dynamic range.
Gaspare Galati +3 more
doaj +5 more sources
Extraction of black hole coalescence waveforms from noisy data
We describe an independent analysis of LIGO data for black hole coalescence events. Gravitational wave strain waveforms are extracted directly from the data using a filtering method that exploits the observed or expected time-dependent frequency content.
Martin A. Green, J.W. Moffat
doaj +3 more sources
Testing two crackle criteria using modified jet noise waveforms [PDF]
The jet sound quality “crackle” has historically been studied and quantified using the statistics of the pressure waveform. Some investigators have suggested crackle, and its associated shock content, may be better quantified using the statistics of the time derivative of the waveform. Modified waveforms are used to evaluate crackle prediction criteria
S Hales, Swift +2 more
openaire +3 more sources
Low‐Frequency Ambient Noise Autocorrelations: Waveforms and Normal Modes [PDF]
Seismic interferometry by ambient noise autocorrelations is a special case of Green's function retrieval for single-station analysis. Although high-frequency noise autocorrelations are now used to extract the reflectivity beneath seismic stations, low-frequency autocorrelations are hardly applied.
Schimmel, Martin +2 more
openaire +3 more sources
Research on computational propagation and identification of mine microseismic signals based on deep learning. [PDF]
In the mining field, hydraulic fracturing of coal - seam boreholes generates a large number of weak microseismic signals. The accurate identification of these signals is crucial for subsequent positioning and inversion.
Dongmei Liu +7 more
doaj +2 more sources
Application of adaptive wavelet thresholding to recovery geoacoustic signal pulse waveforms [PDF]
Recorded geoacoustic signals often contain noise and interference. Their appearance is caused by various reasons, e.g. of propagation environment heterogeneity, weather condition influence, human activity, etc.
Lukovenkova Olga
doaj +1 more source

