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Relevant bibliographies by topics / Differential time difference of arrival

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Academic literature on the topic 'Differential time difference of arrival'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Differential time difference of arrival"

1

Robertson, D. S. "The Astrometric Possibilities of Very-Long-Baseline Interferometry." Symposium - International Astronomical Union 109 (1986): 143–55. http://dx.doi.org/10.1017/s007418090007649x.

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In the application of Very-Long-Baseline Interferometry (VLBI) to astrometric problems the fundamental observable is the difference in the arrival times of a wavefront at two widely separated receiving stations. Since the radio sources being observed are sufficiently distant that the arriving wavefront can be considered to be a plane wave, the differential arrival time is a measure of the component of the baseline in the direction of the source. Equivalently, if the baseline is known, the differential arrival time is sufficient to determine a circle on the sky containing the source. It is easy

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Fokin, G., and V. Lazarev. "Positioning Accuracy Evaluation of Radio Emission Sources Using Time Difference of Arrival and Angle of Arrival Methods. Part 3. 3D-Simulation." Proceedings of Telecommunication Universities 6, no. 2 (2020): 87–102. http://dx.doi.org/10.31854/1813-324x-2020-6-2-87-102.

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This work completes a series of studies evaluating positioning accuracy of radiation sources using the differential-range and/or goniometric method for the spatial scenario. A complex of models and methods is proposed for estimating the limits of positioning accuracy by the metric of the scattering ellipsoid of the lower Cramer – Rao boundary and circular spherical deviation in 3D. Based on the developed tools, a quantitative and qualitative analysis of positioning scenarios in superdense 5G radio networks was performed. The assessments made it possible to verify the requirements of 3GPP speci

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Ma, Yangyang, Congcong Yuan, and Jie Zhang. "Joint microseismic event location and anisotropic velocity inversion with the cross double-difference method using downhole microseismic data." GEOPHYSICS 85, no. 3 (2020): KS63—KS73. http://dx.doi.org/10.1190/geo2019-0325.1.

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We have applied the cross double-difference (CDD) method to simultaneously determine the microseismic event locations and five Thomsen parameters in vertically layered transversely isotropic media using data from a single vertical monitoring well. Different from the double-difference (DD) method, the CDD method uses the cross-traveltime difference between the S-wave arrival time of one event and the P-wave arrival time of another event. The CDD method can improve the accuracy of the absolute locations and maintain the accuracy of the relative locations because it contains more absolute informa

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Georges, Hassana Maigary, Jie Chen, Zhu Xiao, and Dong Wang. "Hybrid global navigation satellite systems, differential navigation satellite systems and time of arrival cooperative positioning based on iterative finite difference particle filter." IET Communications 9, no. 14 (2015): 1699–709. http://dx.doi.org/10.1049/iet-com.2015.0002.

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Bai, Jing, Wei Yang, Song Wang, et al. "Role of Arrival Time Difference Between Lesions and Lung Tissue on Contrast-Enhanced Sonography in the Differential Diagnosis of Subpleural Pulmonary Lesions." Journal of Ultrasound in Medicine 35, no. 7 (2016): 1523–32. http://dx.doi.org/10.7863/ultra.15.08022.

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Sava, Paul, and Sergey Fomel. "3-D traveltime computation using Huygens wavefront tracing." GEOPHYSICS 66, no. 3 (2001): 883–89. http://dx.doi.org/10.1190/1.1444977.

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Traveltime computation is widely used in seismic modeling, imaging, and velocity analysis. The two most commonly used methods are ray tracing and numerical solutions to the eikonal equation. Eikonal solvers are fast and robust but are limited to computing only the first‐arrival traveltimes. Ray tracing can compute multiple arrivals but lacks the robustness of eikonal solvers. We propose a robust and complete method of traveltime computation. It is based on a system of partial differential equations, which is equivalent to the eikonal equation but formulated in the ray‐coordinates system. We us

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Raghavendran, CH V., G. Naga Satish, M. V. Rama Sundari, and P. Suresh Varma. "Tandem Communication Network Model with DBA having Non Homogeneous Poisson arrivals and Feedback for First Node." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 13, no. 9 (2014): 4922–32. http://dx.doi.org/10.24297/ijct.v13i9.2372.

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In this paper, we develop a two node tandem communication network model with dynamic bandwidth allocation and feedback for the first node. In most of the communication systems, the arrivals of packets follow Non-Homogeneous and arrival rate is time dependent. In this model, the transmission rate of each transmitter depends on the number of packets in the buffer connected it. The transmission rates at each transmitter are adjusted depending upon the content of the buffer connected to it. The packets transmitted through the first transmitter may be forwarded to the buffer connected to the second

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Wang, Ruijia, Richard Coates та Jiajun Zhao. "Borehole Sonic Data Dispersion Analysis With a Modified Diﬀerential-Phase Semblance Method". Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description 62, № 4 (2021): 379–92. http://dx.doi.org/10.30632/pjv62n4-2021a3.

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Ruijia Wang, Richard Coates, and Jiajun Zhao The sonic wave fields produced by wireline and logging-while-drilling (LWD) monopole, dipole, and quadrupole tools often consist of multiple borehole modes. Classic frequency-slowness semblance-map methods used to process this data often detect only strongly excited modes and overlook weak ones, and erroneously detect some modes. Conventional dispersion processing methods can be separated into two groups: single-mode and multimode extraction algorithms. Single-mode methods are stable but only return one mode, the most energetic one, at each frequenc

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Barthwal, Himanshu, and Mirko van der Baan. "Passive seismic tomography using recorded microseismicity: Application to mining-induced seismicity." GEOPHYSICS 84, no. 1 (2019): B41—B57. http://dx.doi.org/10.1190/geo2018-0076.1.

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Microseismicity is recorded during an underground mine development by a network of seven boreholes. After an initial preprocessing, 488 events are identified with a minimum of 12 P-wave arrival-time picks per event. We have developed a three-step approach for P-wave passive seismic tomography: (1) a probabilistic grid search algorithm for locating the events, (2) joint inversion for a 1D velocity model and event locations using absolute arrival times, and (3) double-difference tomography using reliable differential arrival times obtained from waveform crosscorrelation. The originally diffusive

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Bagaini, Claudio. "Performance of time-delay estimators." GEOPHYSICS 70, no. 4 (2005): V109—V120. http://dx.doi.org/10.1190/1.1996909.

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I analyze the problem of estimating differences in the arrival times of a seismic wavefront recorded by an array of sensors. The two-sensor problem is tackled first, showing that even an approximate knowledge of the wavelet, such as its power spectrum, can substantially increase the accuracy of the time-delay estimate and reduce the signal-to-noise ratio (S/N) threshold for reliable time-delay estimation. The use of the complex trace, although beneficial for time-delay estimates in the presence of frequency-independent phase shifts, reduces the estimation accuracy in poor S/N conditions. I com

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Dissertations / Theses on the topic "Differential time difference of arrival"

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Vidyarthi, Ananta. "Digital AM Radio Navigation using differential Time Difference of Arrival Principle." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1336762773.

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Abudabbousa, Ahmed. "OFDM based Time Difference Of Arrival Estimation." Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUS112/document.

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Cette thèse présente une solution originale permettant d’extraire, à partir de signaux de communication OFDM, l’information liée à la différence de temps d’arrivée (TDOA) entre deux émetteurs très proches et un récepteur. Cette méthode, qui s’avère super-résolutive, permet d’extraire des TDOA en dessous de la limite de Rayleigh fixée par la bande passante utile. Dans ce travail, nous effectuons, à l'aide d'une sortie simple à entrées multiples, la caractérisation et la modélisation des canaux pour l’estimation TDOA. En gérant ces réponses ce canal de fréquence de canal de différentes manières,

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Camlica, Sedat. "Recursive Passive Localization Methods Using Time Difference Of Arrival." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12611032/index.pdf.

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In this thesis, the passive localization problem is studied. Robust and recursive solutions are presented by the use of Time Difference of Arrival (TDOA). The TDOA measurements are assumed to be gathered by moving sensors which makes the number of the sensors increase synthetically. First of all, a location estimator should be capable of processing the new measurements without omitting the past data. This task can be accomplished by updating the estimate recursively whenever new measurements are available. Convenient forms of the recursive filters, such as the Kalman filter, the Extended Kalma

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Kundu, Auni, Brianne Noriega, Connor O'Brien, Corey Speros, and Dawei Ju. "Time Difference of Arrival for Small Mammal Tracking System." International Foundation for Telemetering, 2014. http://hdl.handle.net/10150/577466.

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ITC/USA 2014 Conference Proceedings / The Fiftieth Annual International Telemetering Conference and Technical Exhibition / October 20-23, 2014 / Town and Country Resort & Convention Center, San Diego, CA<br>This paper describes in depth the specifics of a tracking system for small mammals. This method is based on time difference of arrival. This project was deployed for proof of concept and demonstrates the advantages of time difference of arrival over GPS based schemes employed by previous teams.

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Aktas, Unal. "Time difference of arrival (TDOA) estimation using wavelet based denoising." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA360774.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, March 1999.<br>"March 1999" Thesis advisor(s): David V. Lamm, Michael W. Boudreau. Includes bibliographical references (p. 103-104). Also available online.

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Williamson, Richard William. "Emitter location via Kalman filtering of signal time difference of arrival." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA285972.

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Thesis (M.S. in Electrical Engineering and Electrical Engineer) Naval Postgraduate School, September 1994.<br>Thesis advisor(s): Titus, H. A. "September 1994." Includes bibliographical references. Also available online.

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Göransson, Håkan. "Robot Localization with Radio Frequency Identification and Time Difference of Arrival." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277643.

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In today’s robot technology it is important to have a system that enables fora robot to find its own position. This can be achieved with different kinds ofsensors, such as LIDAR, GPS and cameras, and sensor fusion.In this master thesis, we develop a system for a robot that follows a straightwall such that it can find its own position along this wall. This is solved bymeasuring the Time Difference of Arrival (TDoA) between one RFID-tag andtwo radio receivers.We have developed prototypes for the radio receivers that receive the radiosignal from the RFID-tag. To improve the TDoA measurement we ha

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Luong, Nicholas J. "Indoor Positioning Using Acoustic Pseudo-Noise Based Time Difference of Arrival." DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2137.

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The Global Positioning System (GPS) provides good precision on a global scale, but is not suitable for indoor applications. Indoor positioning systems (IPS) aim to provide high precision position information in an indoor environment. IPS has huge market opportunity with a growing number of commercial and consumer applications especially as Internet of Things (IoT) develops. This paper studies an IPS approach using audible sound and pseudo-noise (PN) based time difference of arrival (TDoA). The system’s infrastructure consists of synchronized speakers. The object to be located, or receiver, ext

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Kundu, Auni Aunnoyee. "Time Difference of Arrival Technique Using Radio Frequency for Small Mammal Tracking System." Thesis, The University of Arizona, 2014. http://hdl.handle.net/10150/321786.

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El, Gemayel Noha [Verfasser], and F. [Akademischer Betreuer] Jondral. "Smart Passive Localization Using Time Difference of Arrival / Noha El Gemayel. Betreuer: F. Jondral." Karlsruhe : KIT-Bibliothek, 2016. http://d-nb.info/1106330064/34.

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Books on the topic "Differential time difference of arrival"

1

Bertil, Gustafsson. Time dependent problems and difference methods. Wiley, 1995.

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Gustafsson, Bertil. Time dependent problems and difference methods. Wiley, 1995.

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High order difference methods for time dependent PDE. Springer, 2008.

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4

Götz, Alexander. Coherent Time Difference of Arrival Estimation Techniques for Frequency Hopping GSM Mobile Radio Signals. Oldenbourg Wissenschaftsverlag Verlag, 2013. http://dx.doi.org/10.1524/9783486748628.

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5

Computational electrodynamics: The finite-difference time-domain method. Artech House, 1995.

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C, Hagness Susan, ed. Computational electrodynamics: The finite-difference time-domain method. 3rd ed. Artech House, 2005.

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C, Hagness Susan, ed. Computational electrodynamics: The finite-difference time-domain method. 2nd ed. Artech House, 2000.

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8

Jeltsch, Rolf. Barriers to the accuracy of explicit three-time-level difference schemes for hyperbolic equations. Universiteit van Stellenbosch, 1992.

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9

Finite difference methods for ordinary and partial differential equations: Steady-state and time-dependent problems. Society for Industrial and Applied Mathematics, 2007.

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Haney, Timothy N. Generation of Global System for Mobile (GSM) signals and their Time Difference of Arrival (TDOA) estimation. Naval Postgraduate School, 2000.

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Book chapters on the topic "Differential time difference of arrival"

1

Gil’, Michael I. "Difference Equations with Continuous Time." In Atlantis Studies in Differential Equations. Atlantis Press, 2014. http://dx.doi.org/10.2991/978-94-6239-091-1_3.

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Kreiss, Heinz-Otto, and Hedwig Ulmer Busenhart. "Difference Methods." In Time-dependent Partial Differential Equations and Their Numerical Solution. Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-8229-3_3.

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Rao, T. Subba. "Statistical Analysis of Nonlinear and NonGaussian Time Series." In Stochastic Differential and Difference Equations. Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-1980-4_22.

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4

de Sousa, Marcelo N., Eduardo F. S. Corrêa, and Reiner S. Thomä. "Time Difference of Arrival Enhancement with Ray Tracing Simulation." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77703-0_108.

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Iglói, E., and Gy Terdik. "Bilinear Stochastic Systems with Long Range Dependence in Continuous Time." In Stochastic Differential and Difference Equations. Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-1980-4_23.

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Vágó, Zs. "Excitation and Performance in Continuous-time Stochastic Adaptive LQ-control." In Stochastic Differential and Difference Equations. Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-1980-4_25.

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Ispány, Márton. "On Stationarity of Additive Bilinear State-space Representation of Time Series." In Stochastic Differential and Difference Equations. Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-1980-4_12.

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Bayour, Benaoumeur, and Delfim F. M. Torres. "Complex-Valued Fractional Derivatives on Time Scales." In Differential and Difference Equations with Applications. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32857-7_8.

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Doan, T. S., A. Kalauch, and S. Siegmund. "Hyperbolicity Radius of Time-Invariant Linear Systems." In Differential and Difference Equations with Applications. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7333-6_9.

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Lindquist, Anders, and Vladimir A. Yakubovich. "Optimal Damping of Forced Oscillations in Discrete-time Systems by Output Feedback." In Stochastic Differential and Difference Equations. Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-1980-4_16.

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Conference papers on the topic "Differential time difference of arrival"

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Seute, Hugo, Cyrille Enderli, Jean-Francois Grandin, Ali Khenchaf, and Jean-Christophe Cexus. "Experimental measurement of time difference of arrival." In 2016 17th International Radar Symposium (IRS). IEEE, 2016. http://dx.doi.org/10.1109/irs.2016.7497354.

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Cakir, Oguzhan, Ayhan Yazgan, Omer Cakir, and Ismail Kaya. "Different perspective of time difference of arrival averaging." In 2012 35th International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2012. http://dx.doi.org/10.1109/tsp.2012.6256312.

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Pang, Shuo, and Ricardo Trujillo. "Indoor localization using ultrasonic time difference of arrival." In IEEE SOUTHEASTCON 2013. IEEE, 2013. http://dx.doi.org/10.1109/secon.2013.6567445.

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Qingduo, Zeng, Liu Shancun, and Chen Binbin. "Strategic trading when information arrival displays time difference." In 2015 27th Chinese Control and Decision Conference (CCDC). IEEE, 2015. http://dx.doi.org/10.1109/ccdc.2015.7162870.

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Schmitz, Johannes, Rudolf Mathar, and Dominik Dorsch. "Compressed time difference of arrival based emitter localization." In 2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa). IEEE, 2015. http://dx.doi.org/10.1109/cosera.2015.7330305.

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Li, Qing. "Hybrid Localization Based on Time of Arrival and Phase Difference of Arrival Fusion." In 2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE, 2019. http://dx.doi.org/10.1109/icspcc46631.2019.8960860.

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Shih, Min, Yan-Yu Lin, Yu-Shan Lin, et al. "System implementation of robust time difference of arrival estimation." In 2014 IEEE International Conference on Orange Technologies (ICOT). IEEE, 2014. http://dx.doi.org/10.1109/icot.2014.6956623.

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Zhao, Chun, Chun Zhang, Xijin Zhao, Hong Chen, and Zhihua Wang. "Time difference of arrival estimation based on wavelet transform." In 2015 IEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC). IEEE, 2015. http://dx.doi.org/10.1109/edssc.2015.7285164.

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Isaacs, Jason T., Daniel J. Klein, and Joao P. Hespanha. "Optimal sensor placement for time difference of arrival localization." In 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC 2009). IEEE, 2009. http://dx.doi.org/10.1109/cdc.2009.5399478.

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Zimmermann, Lars, Alexander Goetz, Georg Fischer, and Robert Weigel. "GSM mobile phone localization using time difference of arrival and angle of arrival estimation." In 2012 IEEE 9th International Multi-Conference on Systems, Signals and Devices (SSD). IEEE, 2012. http://dx.doi.org/10.1109/ssd.2012.6197970.

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Reports on the topic "Differential time difference of arrival"

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Hippenstiel, Ralph D., Timothy Haney, and Tri T. Ha. Improvement of the Time Difference of Arrival (TDOA) Estimation of GSM Signals Using Wavelets. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada380368.

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Hippenstiel, Ralph D., Tri T. Ha, and Unal Aktas. Localization of Wireless Emitters Based on the Time Difference of Arrival (TDOA) and Wavelet Denoising. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada363100.

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Solomon, Latasha, Yirong Pu, and Allyn Hubbard. Acoustic Transient Localization: A Comparative Analysis of the Conventional Time Difference of Arrival Versus Biomimetics. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada512484.

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