Deep Learning Approaches for Robust Time of Arrival Estimation in Acoustic Emission Monitoring [PDF]
Sensors, 2022 In this work, different types of artificial neural networks are investigated for the estimation of the time of arrival (ToA) in acoustic emission (AE) signals.
Federica Zonzini +5 more
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IEEE 802.15.4 ZigBee-Based Time-of-Arrival Estimation for Wireless Sensor Networks [PDF]
Sensors, 2016 Precise time-of-arrival (TOA) estimation is one of the most important techniques in RF-based positioning systems that use wireless sensor networks (WSNs).
Jeonghyeon Cheon +3 more
doaj +2 more sources
High resolution time of arrival estimation for a cooperative sensor system [PDF]
Advances in Radio Science, 2010 Distance resolution of cooperative sensors is limited by the signal bandwidth. For the transmission mainly lower frequency bands are used which are more narrowband than classical radar frequencies. To compensate this resolution problem the combination of
C. Morhart, E. M. Biebl
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A Crowd-Assisted Real-time Public Transport Information Service: No More Endless Wait [PDF]
, 2016 Many passengers have expressed frustration in waiting for public bus endlessly without knowing the estimated ar- rival time. In many developing countries, requiring bus operators to invest in the installation of a GPS unit on every bus in order to track ...
Keoh, Sye Loong +3 more
core +1 more source
On Time-of-Arrival Estimation in NB-IoT Systems [PDF]
2019 IEEE Wireless Communications and Networking Conference (WCNC), 2019 6 pages, 8 ...
Sha Hu 0001 +2 more
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Nonnegative deconvolution for time of arrival estimation
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004 The interaural time difference (ITD) of arrival is a primary cue for acoustic sound source localization. Traditional estimation techniques for ITD based upon cross-correlation are related to maximum-likelihood estimation of a simple generative model.
Yuanqing Lin +2 more
openaire +2 more sources
Time difference of arrival estimation of microseismic signals based on alpha-stable distribution [PDF]
Nonlinear Processes in Geophysics, 2018 Microseismic signals are generally considered to follow the Gauss distribution. A comparison of the dynamic characteristics of sample variance and the symmetry of microseismic signals with the signals which follow α-stable distribution reveals that ...
R.-S. Jia +11 more
doaj +1 more source
Super-Resolution Time of Arrival Estimation Using Random Resampling in Compressed Sensing [PDF]
, 2018 There is a strong demand for super-resolution time of arrival (TOA) estimation techniques for radar applications that can that can exceed the theoretical limits on range resolution set by frequency bandwidth.
Fang SHANG +3 more
core +2 more sources
Energies, 2019 The ever-growing mobile station (MS) localization technologies provide an increasingly important role in all aspects of the wireless cellular systems and Internet of Things (IoT).
Sajina Pradhan +4 more
doaj +1 more source
Study on GNSS‐R multi‐target detection and location method based on consistency checking
IET Radar, Sonar & Navigation, 2021 The use of GNSS reflected signals to carry out passive detection of space targets is an emerging technical field. Unlike the traditional GNSS‐R in large‐scale environments such as oceans, vegetation, ice and snow, it is required to identify different ...
Cheng Liu +7 more
doaj +1 more source