Relevant bibliographies by topics / Radio-tracking

Academic literature on the topic 'Radio-tracking'

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Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "Radio-tracking"

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Zachár, Gergely, Gyula Simon, and Miklós Maróti. "Radio Interferometric Object Tracking." International Journal on Smart Sensing and Intelligent Systems 7, no. 5 (2020): 1–6. http://dx.doi.org/10.21307/ijssis-2019-044.

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O'Connor, Paul J., Graham H. Pyke, and Hugh Spencer. "Radio-tracking Honeyeater Movements." Emu - Austral Ornithology 87, no. 4 (December 1987): 249–52. http://dx.doi.org/10.1071/mu9870249.

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Worton, Bruce J. "Modelling radio-tracking data." Environmental and Ecological Statistics 2, no. 1 (March 1995): 15–23. http://dx.doi.org/10.1007/bf00452929.

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Noon, Barry R. "Radio Tracking and Animal Populations." Auk 119, no. 2 (April 1, 2002): 580–82. http://dx.doi.org/10.1093/auk/119.2.580.

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Saunders, Debbie, Huyen Nguyen, Saul Cowen, Michael Magrath, Karen Marsh, Sarah Bell, and Josh Bobruk. "Radio-tracking wildlife with drones: a viewshed analysis quantifying survey coverage across diverse landscapes." Wildlife Research 49, no. 1 (February 4, 2022): 1–10. http://dx.doi.org/10.1071/wr21033.

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Radio-tracking tagged wildlife remains a critical research technique for understanding the movements, behaviours and survival of many species. However, traditional hand-held tracking techniques on the ground are labour intensive and time consuming. Therefore, researchers are increasingly seeking new technologies to address these challenges, including drone radio-tracking receivers. Following the implementation of drone radio-tracking techniques for five different threatened species projects within different habitat and landscape types, we identified the need to quantify the relative spatial extent of surveys using both drone and hand-held techniques for each project. This was undertaken using viewshed analyses. These analyses demonstrated that survey coverage with drone-based radio-tracking was substantially greater than that of hand-held radio-tracking for all species and landscapes examined. Within mountainous landscapes, drone radio-tracking covered up to four times the area of hand-held tracking, whereas in flat to undulating landscapes, drone surveys covered up to 11.3 times the area that could be surveyed using hand-held techniques from the same locations on the ground. The viewshed analyses were also found to be a valuable visualisation tool for identifying areas for targeted surveys to reduce the risk of ‘losing’ tagged animals, which has traditionally been one of the biggest radio-tracking challenges.
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Minakov, E. I., G. A. Valikhin, A. V. Ovchinnikov, and S. S. Matveeva. "Tracking Filter for Radio Surveillance upon UAV Detection." Proceedings of Universities. Electronics 26, no. 6 (December 2021): 554–64. http://dx.doi.org/10.24151/1561-5405-2021-26-6-554-564.

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Unsanctioned intrusion of unmanned aerial vehicle (UAV) on the territory of the guarded object is primarily detected by specialized radio surveillance systems. The results obtained by radio surveillance systems are used for aiming of UAV visual identification and radio jamming systems. In this work, the problems of UAV detection and tracking of the target trajectory are considered. The known tracking filter systems for radio surveillance application were analyzed and a specialized matrix tracking filter system was proposed, which uses in its algorithm a dynamically changing energy potential of the radio surveillance system. The developed tracking filter system efficiency is evaluated using methods of matrix calculation, mathematical modeling, and probability theory. It has been established that the developed tracking filter system lets the radio surveillance equipment most effectively initiate trajectories of UAV, set its movement window, consider radio surveillance equipment characteristics, and approximate the trajectory of UAV at times of missed detections connected to radar cross-section fluctuations of moving targets. A high efficiency of the developed system has been achieved by decreasing the inaccuracy of the target position prediction two times in comparison with the known tracking filter systems. The obtained results allow easy scaling of the developed tracking filter system for its application as a part of any radio surveillance system.
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Norgan, Andrew P., Kurt E. Simon, Barbara A. Feehan, Lynn L. Saari, Joseph M. Doppler, G. Scott Welder, John A. Sedarski, et al. "Radio-Frequency Identification Specimen Tracking to Improve Quality in Anatomic Pathology." Archives of Pathology & Laboratory Medicine 144, no. 2 (June 27, 2019): 189–95. http://dx.doi.org/10.5858/arpa.2019-0011-oa.

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Context.— Preanalytic errors, including specimen labeling errors and specimen loss, occur frequently during specimen collection, transit, and accessioning. Radio-frequency identification tags can decrease specimen identification and tracking errors through continuous and automated tracking of specimens. Objective.— To implement a specimen tracking infrastructure to reduce preanalytic errors (specimen mislabeling or loss) between specimen collection and laboratory accessioning. Specific goals were to decrease preanalytic errors by at least 70% and to simultaneously decrease employee effort dedicated to resolving preanalytic errors or investigating lost specimens. Design.— A radio-frequency identification specimen-tracking system was developed. Major features included integral radio-frequency identification labels (radio-frequency identification tags and traditional bar codes in a single printed label) printed by point-of-care printers in collection suites; dispersed radio-frequency identification readers at major transit points; and systems integration of the electronic health record, laboratory information system, and radio-frequency identification tracking system to allow for computerized physician order entry driven label generation, specimen transit time tracking, interval-based alarms, and automated accessioning. Results.— In the 6-month postimplementation period, 6 mislabeling events occurred in collection areas using the radio-frequency identification system, compared with 24 events in the 6-month preimplementation period (75% decrease; P = .001). In addition, the system led to the timely recovery of 3 lost specimens. Labeling expenses were decreased substantially in the transition from high-frequency to ultrahigh frequency radio-frequency identification tags. Conclusions.— Radio-frequency identification specimen tracking prevented several potential specimen-loss events, decreased specimen recovery time, and decreased specimen labeling errors. Increases in labeling/tracking expenses for the system were more than offset by time savings and loss avoidance through error mitigation.
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Cluff, H. Dean, Gary C. White, and Robert A. Garrott. "Analysis of Wildlife Radio-Tracking Data." Journal of Wildlife Management 55, no. 2 (April 1991): 358. http://dx.doi.org/10.2307/3809166.

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Buckland, S. T., G. C. White, and R. A. Garrott. "Analysis of Wildlife Radio-Tracking Data." Biometrics 47, no. 1 (March 1991): 353. http://dx.doi.org/10.2307/2532535.

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Santos, A. J. D., A. R. Soares, F. M. de Almeida Redondo, and N. B. Carvalho. "Tracking Trains via Radio Frequency Systems." IEEE Transactions on Intelligent Transportation Systems 6, no. 2 (June 2005): 244–58. http://dx.doi.org/10.1109/tits.2005.848369.

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Dissertations / Theses on the topic "Radio-tracking"

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Bryant, Edmund Bernard. "Radio tracking of pinnipeds." Thesis, University of Sheffield, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364311.

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Kabelac, Zachary (Zachary E. ). "3D tracking via body radio reflections." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91834.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 65-66).
This thesis presents WiTrack, a system that tracks the 3D motion of a user from the radio signals reflected off her body. It works even if the person is occluded from the WiTrack device or in a different room. WiTrack does not require the user to carry any wireless device, yet its accuracy exceeds current RF localization systems, which require the user to hold a transceiver. Empirical measurements with a WiTrack prototype show that, on average, it localizes the center of a human body to within a median of 10 to 13 cm in the x and y dimensions, and 21 cm in the z dimension. It also provides coarse tracking of body parts, identifying the direction of a pointing hand with a median of 11.2°. WiTrack bridges a gap between RF-based localization systems which locate a user through walls and occlusions, and human-computer interaction systems like Kinect, which can track a user without instrumenting her body, but require the user to stay within the direct line of sight of the device.
by Zachary Kabelac.
M. Eng.
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Huber, Braden R. "Radio determination on mini-UAV platforms : tracking and locating radio transmitters /." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd2980.pdf.

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Huber, Braden Russell. "Radio Determination on Mini-UAV Platforms: Tracking and Locating Radio Transmitters." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/1743.

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Aircraft in the US are equipped with Emergency Locator Transmitters (ELTs). In emergency situations these beacons are activated, providing a radio signal that can be used to locate the aircraft. Recent developments in UAV technologies have enabled mini-UAVs (5-foot wingspan) to possess a high level of autonomy. Due to the small size of these aircraft they are human-packable and can be easily transported and deployed in the field. Using a custom-built Radio Direction Finder, we gathered readings from a known transmitter and used them to compare various Bayesian reasoning-based filtering algorithms. Using a custom-developed simulator, we were able to test and evaluate filtering and control methods. In most non-trivial conditions we found that the Sequential Importance Resampling (SIR) Particle Filter worked best. The filtering and control algorithms presented can be extended to other problems that involve UAV control and tracking with noisy non-linear sensor behavior.
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Chen, Xi. "Sequential Monte Carlo radio-frequency tomographic tracking." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=104844.

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Target tracking in over a small-scale area using wireless sensor networks (WSNs) is a technique that can be used in applications ranging from emergency rescue after an earthquake to security protection in a building. Many target tracking systems rely on the presence of an electric device which must be carried by the target in order to reports back its location and status. This makes these systems unsuitable for many emergency applications; in such applications device-free tracking systems that where no devices are attached to the targets are needed. Radio-Frequency (RF) tomographic tracking is one such device-free tracking technique. This system tracks moving targets by analyzing changes in attenuation in wireless transmissions. The target can be tracked within the sensor network area without being required to carry an electric device.Some previously-proposed device-free tracking approaches require a time-consuming training phase before tracking can be carried out, which is time-consuming. Others perform tracking by sacrificing part of the estimation accuracy. In this thesis, we propose a novel sequential Monte Carlo (SMC) algorithm for RF tomographic tracking. It can track a single target moving in a wireless sensor network without the system needing to be trained. The algorithm adopts a particle filtering method to estimate the target position and incorporates on-line Expectation Maximization (EM) to estimate model parameters. Based on experimental measurements, the work also introduces a novel measurement model for the attenuation caused by a target with the goal of improving estimation accuracy. The performance of the algorithm is assessed through numerical simulations and field experiments carried out with a wireless sensor network testbed. Both simulated and experimental results demonstrate that our work outperforms previous RF tomographic tracking approaches for single target tracking.
Suivi de cible dans la zone à petite échelle en utilisant les réseaux de capteurs sans fil est une technique qui peut être largement utilisé dans des applications telles que le sauvetage d'urgence après un tremblement de terre, ou la protection de la sécurité dans un bâtiment. Beaucoup de systèmes de poursuite de cibles nécessitent un dispositif électrique réalisée par l'objectif de faire rapport de ses localisation instantanée et le statut. L'inconvénient rend ces systèmes ne conviennent pas pour des applications nombreuses interventions d'urgence, dispositif sans systèmes de suivi qui ne les périphériques connectés sur les objectifs sont nécessaires. Radio-Fréquence (RF) suivi tomographique est l'une des techniques dispositif de suivi-libres. Il s'agit d'un processus de suivi des cibles mobiles en analysant l'évolution de l'atténuation dans les transmissions sans fil. La cible peut être suivi dans la zone de réseau de capteurs, tandis que les appareils électriques ne doivent être effectués. Cependant, certaines approches précédentes dispositif de suivi-libre nécessite une phase d'entraînement avant de suivi, ce qui prend beaucoup de temps. Autres effectuer un suivi par scarification partie de précision de l'estimation.Dans cette thèse, nous proposons une nouvelle Monte Carlo séquentielles (SMC) algorithme de suivi RF tomographique. Il peut suivre une cible unique sans formation du système dans un réseau de capteurs sans fil. L'algorithme de filtrage particulaire adopte la méthode pour estimer la position cible et intègre en ligne Expectation Maximization (EM) pour estimer les paramètres du modèle. Sur la base de mesures expérimentales, le travail introduit également un modèle de mesure de roman pour l'atténuation provoquée par une cible pour améliorer la précision d'estimation. La performance de l'algorithme est évaluée par des simulations numériques et expériences sur le terrain avec un réseau de capteurs sans fil banc d'essai. Les deux résultats simulés et expérimentaux démontrent que notre travail surpasse précédente approche RF suivi tomographique pour le suivi de cible unique.
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Najarro, F., Joachim Puls, A. Herrero, M. M. Hanson, J. Martín-Pintado, and D. J. Hillier. "Tracking the Clumping in OB Stars from UV to radio." Universität Potsdam, 2007. http://opus.kobv.de/ubp/volltexte/2008/1770/.

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Mazarico, Erwan Matías Alexandre 1981. "Study of the Martian upper atmosphere using radio tracking data." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/42923.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 2008.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references.
Since the first in situ observations of the Martian atmosphere were made by the twin Viking landers, we have learned considerably more about its composition, dynamics and variability. Not only did the new data on global atmospheric densities generate opportunities to understand the atmospheric composition of early Mars and supply constraints at the upper limit of General Circulation Models, it is critical for the design and planning of future exploration missions. We can complement the successes of remote sensing and accelerometer investigations by using radio tracking data that have not been studied from an atmospheric science perspective, or are available for the first time. Due to the very low density of the higher layers atmosphere, the estimation of the drag acceleration using Precision Orbit Determination is a challenge. We developed new numerical models of the non-conservative forces acting on the spacecraft. In particular, the spacecraft crosssectional area is calculated using improved spacecraft macro-models which include interplate shadowing. These improvements in the force modeling enable a more robust estimation of the atmospheric density. The density structure from the middle atmosphere up to the exosphere is studied using radio tracking data from the Mars Odyssey and the Mars Reconnaissance Orbiter spacecraft. Measurements in the Martian middle atmosphere, near 100 -- 110 km, are obtained from the aerobraking phase of the Mars Odyssey spacecraft; we obtain periapsis density estimates consistent with the Accelerometer Team, and estimate scale heights representative of the drag environment from an operational point of view. The orbit of Mars Odyssey during its mapping and extended phases allows us to probe very high in the exosphere, near 400 km altitude. In the retrieved density time series, we observe some of the features of solar forcing and seasonal cycle predicted by different atmospheric models.
(cont.) The most recent radio tracking data, from the Mars Reconnaissance Orbiter mapping mission, enables a monitoring of densities near 250 -- 300 km at higher temporal and spatial resolutions, allowing a more detailed study than previously possible.
by Erwan Mazarico.
Ph.D.
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Olsen, Snorre Haugstulen. "Radio Tracking of Open Range Sheep : Methods for Radio Location in a Sub-GHz Base Station Network." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elektronikk og telekommunikasjon, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-26649.

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This thesis aims to compare methods of radio location for the purpose of tracking sheep by using sub-GHz radio transceivers arranged in a base station network. Nearly 10% of free-grazing sheep in Norway are lost every year, creating losses for both farmers and the government. Tracking technology may reduce these losses. Existing tracking solutions based on GPS and GSM are commercially available, but previous research shows that poor signal conditions in grazing areas limit their efficacy. An alternative tracking system using the low-power CC1120 transceiver from Texas Instruments is outlined and evaluated for the two following methods of radio location. Hyperbolic trilateration uses time difference of arrival (TDoA) estimates for receiver pairs and circular trilateration uses received signal strength (RSSI) to perform radio location. Initial measurements show that the transceiver alone should not be used for TDoA estimation because its trigger signals are only accurate to within 25% of the predetermined symbol interval. In future work, TDoA can be estimated by comparing the bit streams taken directly from the A/D-converter (ADC) of two base stations. This requires additional hardware but is expected to be accurate enough to locate sheep.A small-scale outdoors radio location experiment was carried out using RSSI measurements from the CC1120, and circular trilateration with three base stations approximately 200 m apart. A propagation model was fitted to calibration data using linear regression. Position estimates were calculated by both linear and non-linear least squares approximation using MATLAB. The average error of the position estimates was 55.8 m. The error in the full-scale system for this method is estimated to be several kilometres, too large for tracking sheep.In conclusion, the TDoA-based hyperbolic trilateration method is the only one showing promise. Challenges related to synchronicity between the base stations are expected to be met using GPS receivers. Additional work with extracting the bit streams is required before the TDoA can be estimated with sufficient accuracy.
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Campbell, Philip E. "Visual analysis of a radio frequency tracking system for virtual environments." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA363020.

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Thesis (M.S. in Computer Science and M.S. in Applied Physics) Naval Postgraduate School, June 1999.
"June 1999". Thesis advisor(s): Rudy Darken, Xavier Maruyama. Includes bibliographical references (p.83-84). Also available online.
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Rönnberg, Sjödin Oskar, and David Ahlsin. "Development of Simulation Tool and New Tracking Algorithms for Radio Occultation Receivers." Thesis, Linköpings universitet, Kommunikationssystem, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-75424.

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When a radio signal traverses the atmosphere it will be delayed by not only thedistance between transmitter and receiver, but also the atmosphere. Given knowl-edge of the characteristics of the sent signal the effect of the atmosphere can beobtained from the received signal. This concept is called radio occultation. Radiooccultation can provide high accuracy profiles of temperature, pressure and watervapour troughout the atmosphere.This report aims to present the work and results from a thesis performed atRUAG Space in Göteborg. The purpose of the thesis was to implement a simulatorwhich with high accuracy could generate a signal as it would have been receivedhad it propagated through the atmosphere.We will show that the generated signal passes the requirements that have beenset.
När en radiovåg passerar genom atmosfären kommer den att fördröjas, inte bara avavståndet mellan sändare och mottagare utan också av atmosfären. Givet kunskapom karaktäristiken hos den sända signalen kan atmosfärens effekt erhållas från denmottagna signalen. Detta koncept kallas för radio-ockultation. Radio-ockultationkan med hög noggrannhet ge profiler för temperatur, tryck och vattenånga genomatmosfären.Denna rapport ämnar presentera det jobb och de resultat som uppnåtts genomett examensarbete genomfört på RUAG Space i Göteborg. Examensarbetets syftevar att implementera en simulator som med hög noggrannhet kan generera ensignal så som den hade sett ut då den propagerat genom atmosfären.Vi kommer att visa att den genererade signalen uppnår de krav som ställts.
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Books on the topic "Radio-tracking"

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Kawase, Seiichirō. Radio interferometry and satellite tracking. Norwood, MA: Artech House, 2012.

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J, Millspaugh Joshua, ed. Radio tracking and animal populations. San Diego: Academic Press, 2001.

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Hatler, David F. Studies of radio-collared caribou in the Spatsizi Wilderness Park area, British Columbia, 1980-1984. Smithers, B.C: Spatsizi Association for Biological Research, 1986.

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C, White Gary. Analysis of wildlife radio-tracking data. San Diego: Academic Press, 1990.

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A, Howe Marshall. Migration of radio-marked whooping cranes from the Aransas-Wood Buffalo population: Patterns of habitat use, behavior, and survival. Washington, D.C: U.S. Dept. of the Interior, Fish and Wildlife Service, 1989.

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A, Howe Marshall. Migration of radio-marked whooping cranes from the Aransas-Wood Buffalo population: Patterns of habitat use, behavior, and survival. Washington, D.C: U.S. Dept. of the Interior, Fish and Wildlife Service, 1989.

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Conference, on Fish Telemetry in Europe (5th 2003 Ustica Italy). Aquatic telemetry: Advances and applications : proceedings of the Fifth Conference on Fish Telemetry held in Europe, Ustica, Italy, 9-13 June 2003. Rome: COISPA tecnologia & ricerca, 2005.

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Portugal) Conference on Fish Telemetry in Europe (6th 2005 Sesimbra. Developments in fish telemetry: Proceedings of the Sixth Conference on Fish Telemetry held in Europe. Edited by Almeida Pedro R, Universidade de Évora, and Universidade de Lisboa. Instituto de Oceanografia. Dordrecht, Netherlands: Springer, 2007.

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Wildlife radio tagging: Equipment, field techniques, and data analysis. London: Academic Press, 1987.

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Conference on Fish Telemetry in Europe. Developments in Fish Telemetry: Proceedings of the 6th Conference on Fish Telemetry Held in Europe / edited by Pedro R. Almeida, Bernardo R. Quintella, Maria J. Costa & Andrew Moore. Dordrecht, Netherlands: Springer Verlag, 2007.

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Book chapters on the topic "Radio-tracking"

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MacCurdy, Robert B., Richard M. Gabrielson, and Kathryn A. Cortopassi. "Automated Wildlife Radio Tracking." In Handbook of Position Location, 1129–67. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch33.

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Grekow, Jacek. "Emotion Tracking of Radio Station Broadcasts." In From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces, 85–93. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70609-2_8.

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Grekow, Jacek. "Mood Tracking of Radio Station Broadcasts." In Lecture Notes in Computer Science, 184–93. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08326-1_19.

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Xiao, Pan, Yiyin Wang, Cailian Chen, and Xinping Guan. "A Dual-Tone Radio Interferometric Tracking System." In Communications and Networking, 509–18. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66628-0_48.

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Willis, P., C. Boucher, M. Kasser, R. Biancale, A. Cazenave, M. Dorrer, and F. Nouel. "The Doris Satellite Radio Tracking System: Status and Plans." In Global Positioning System: An Overview, 391–99. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4615-7111-7_36.

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Maita, Kazuhiko. "Radio tracking of Japanese serow in Akita Prefecture, Japan." In The Biology and Management of Capricornis and Related Mountain Antelopes, 119–24. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-011-8030-6_9.

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Dibitonto, Massimiliano, Antonio Buonaiuto, Gian Luca Marcialis, Daniele Muntoni, Carlo Maria Medaglia, and Fabio Roli. "Fusion of Radio and Video Localization for People Tracking." In Lecture Notes in Computer Science, 258–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25167-2_35.

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Vankipuram, Mithra, Thomas G. Kannampallil, Zhe Li, and Kanav Kahol. "Automated Workflow Analysis and Tracking Using Radio Frequency Identification Technology." In Cognitive Informatics in Health and Biomedicine, 357–87. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5490-7_17.

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Matshego, Itumeleng, and Tranos Zuva. "Hybrid Radio Frequency Identification and Global Positioning System Asset Tracking." In Proceedings of Third International Conference on Communication, Computing and Electronics Systems, 1119–32. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8862-1_75.

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Tsinos, Christos G., and Kostas Berberidis. "Spectrum Sensing in Multi-antenna Cognitive Radio Systems via Distributed Subspace Tracking Techniques." In Handbook of Cognitive Radio, 1–32. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-1389-8_15-1.

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Conference papers on the topic "Radio-tracking"

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"Prediction-aided Radio-interferometric Object Tracking." In 4th International Conference on Sensor Networks. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005241501610168.

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Zachar, Gergely, and Gyula Simon. "Radio interferometric tracking using redundant phase measurements." In 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2015. http://dx.doi.org/10.1109/i2mtc.2015.7151590.

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Liu, Yiqing, Chong He, Jingfeng Chen, Xudong Bai, and Fanwei Kong. "Radio tracking based on Time-Modulated Array." In 2020 9th Asia-Pacific Conference on Antennas and Propagation (APCAP). IEEE, 2020. http://dx.doi.org/10.1109/apcap50217.2020.9246007.

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Li, Yunpeng, Xi Chen, Mark Coates, and Bo Yang. "Sequential Monte Carlo Radio-Frequency tomographic tracking." In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5947223.

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Bayram, Haluk, Nikolaos Stefas, and Volkan Isler. "Aerial Radio-Based Telemetry for Tracking Wildlife." In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2018. http://dx.doi.org/10.1109/iros.2018.8594503.

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Zachár, Gergely, and Gyula Simon. "Towards Distortion-tolerant Radio-interferometric Object Tracking." In 5th International Conference on Sensor Networks. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005761702070213.

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Kusy, Branislav, Janos Sallai, Gyorgy Balogh, Akos Ledeczi, Vladimir Protopopescu, Johnny Tolliver, Frank DeNap, and Morey Parang. "Radio interferometric tracking of mobile wireless nodes." In the 5th international conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1247660.1247678.

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Zarimpas, V. "Location determination and tracking using radio beacons." In 6th IEE International Conference on 3G and Beyond (05/11182). IEE, 2005. http://dx.doi.org/10.1049/cp:20050220.

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Campo, C., L. Bernard, H. Boeglen, S. Hengy, and J. M. Paillot. "Software-Defined Radio System for Tracking Application." In 12th European Conference on Antennas and Propagation (EuCAP 2018). Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.0582.

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Jardine, Naeem, Gareth A. Gericke, Rangith R. Kuriakose, and Hermanus J. Vermaak. "Wireless SMART Product Tracking using Radio Frequency Identification." In 2019 IEEE 2nd Wireless Africa Conference (WAC). IEEE, 2019. http://dx.doi.org/10.1109/africa.2019.8843418.

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Reports on the topic "Radio-tracking"

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Gangadeen, Kevin E., and Bernadette D. Houston. Assessing Industry Business Practices in Implementing Radio Frequency Identification (RFID) in the Tracking and Tracing of Pharmaceuticals. Fort Belvoir, VA: Defense Technical Information Center, December 2005. http://dx.doi.org/10.21236/ada443412.

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Harris, Rico R., Dale F. Locklar, and Luke R. Wright. Feasibility of Radio Frequency Identification (RFID) and Item Unique Identification (IUID) in the Marine Corps Small Arms Weapons Tracking System. Fort Belvoir, VA: Defense Technical Information Center, December 2008. http://dx.doi.org/10.21236/ada494078.

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Liscom, Kenneth. Radio-Tracking Studies of Adult Chinook Salmon and Steelhead to Determine the Effect of ''Zero'' River Flow During Water Storage at Little Goose Dam on the Lower Snake River, Final Report of Research. Office of Scientific and Technical Information (OSTI), September 1985. http://dx.doi.org/10.2172/6415302.

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Technology News 543 - reverse implementation of radio frequency identification (RFID) technology for personnel tracking in underground mines. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, September 2011. http://dx.doi.org/10.26616/nioshpub2011209.

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Technology News 544 - new measurement tool to validate wireless communications and tracking radio signal coverage in mines. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, October 2011. http://dx.doi.org/10.26616/nioshpub2012100.

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