Análisis de sistemas de detección e identificación de personas en ambiente de laboratorio utilizando radar y RFID

dc.contributorGarcía Álvarez, Julio César
dc.contributorPropagación Electromagnética Aplicada (Propela)
dc.contributorOrjuela Rodríguez, Sebastián [0000-0002-0163-3825]
dc.creatorOrjuela Rodríguez, Sebastián
dc.date.accessioned2023-02-16T14:41:53Z
dc.date.accessioned2023-06-06T23:43:20Z
dc.date.available2023-02-16T14:41:53Z
dc.date.available2023-06-06T23:43:20Z
dc.date.created2023-02-16T14:41:53Z
dc.date.issued2020
dc.identifierhttps://repositorio.unal.edu.co/handle/unal/83498
dc.identifierUniversidad Nacional de Colombia
dc.identifierRepositorio Institucional Universidad Nacional de Colombia
dc.identifierhttps://repositorio.unal.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6651472
dc.description.abstractEn este trabajo de tesis se presenta un análisis de sistemas de identificación, localización y seguimiento de personas. Con el fin de medir el flujo de usuarios en las salas de trabajo del laboratorio de Electricidad y Electrónica de la Universidad Nacional de Colombia - Sede Manizales de forma automatizada. El sistema propuesto consta de tres partes fundamentales: (1) un sistema de radar de onda continua modulado en frecuencia (FM-CW) con arquitectura MISO que opera a una frecuencia de entre 60 y 64 GHz el cual se encarga de la identificación de personas; (2) un Sistema de RFID de UHF con frecuencia de operación de entre 902 y 928 MHz que lee tarjetas RFID de tipo microstrip que se encarga del conteo de usuarios y (3) un algoritmo de IA basado en Lógica Difusa que se encargara´ de relacionar la información recibida del radar y el RFID y con la cual tomaran decisiones que le permitan al Laboratorio hacer una medición real del flujo de usuarios en sus salas y facilitará la presentación de estos al momento de realizar informes de gestión. (Texto tomado de la fuente)
dc.description.abstractAbstract In this thesis work, an analysis of systems for identifying, locating and tracking people is presented. In order to measure the flow of users in the work rooms of the Electricity and Electronics laboratory of the National University of Colombia - Manizales campus in an automated way. The proposed system consists of three fundamental parts: (1) a frequency modulated con- tinuous wave (FM-CW) radar system with MISO architecture that operates at a frequency between 60 and 64 GHz which is responsible for the identification of people ; (2) a UHF RFID System with an operating frequency between 902 and 928 MHz that reads microstrip RFID cards that is in charge of counting users and (3) an AI algorithm based on Fuzzy Logic that will be in charge of relating the information received from the radar and RFID and with which they will make decisions that allow the Laboratory to make a real measurement of the flow of users in their rooms and will facilitate their presentation when making management reports.
dc.languagespa
dc.publisherUniversidad Nacional de Colombia
dc.publisherManizales - Ingeniería y Arquitectura - Maestría en Ingeniería - Automatización Industrial
dc.publisherFacultad de Ingeniería y Arquitectura
dc.publisherManizales, Colombia
dc.publisherUniversidad Nacional de Colombia - Sede Manizales
dc.relation2019. URL https://www.xethru.com/x4m300-presence-sensor.html
dc.relationR. A. Watson. Improvements in or relating to wireless systems, 1935.
dc.relationM. K. Baczyk, P. Samczynski, P. Krysik, and K. Kulpa. Tra c density monitoring using passive radars. IEEE Aerospace and Electronic Systems Magazine, 32(2):14{21, February 2017. doi: 10.1109/MAES.2017.150271.
dc.relationI. Haritaoglu, D. Harwood, and L. S. Davis. Hydra: multiple people detection and tracking using silhouettes. In Proceedings 10th International Conference on Image Analysis and Processing, pages 280{285, 1999.
dc.relationR. Mu~noz-Salinas, E.Aguirre, and M. Garc a-Silvente. People detection and tracking using stereo vision and color. Image and Vision Computing, 25(6):995 { 1007, 2007. ISSN 0262-8856.
dc.relationT. J. Ram rez Rozo. Evaluaci on de calidad de im agenes en ensayo termogr a?co no destructivo. Master's thesis, Universidad Nacional de Colombia - Sede Manizales, 2013. URL http://bdigital.unal.edu.co/12425/.
dc.relationH. A. Fandi~no Toro. Diagn ostico e identi?caci on de fallas en motores industriales a trav es del an alisis de im agenes termogr a?cas. Master's thesis, Universidad Nacional de Colombia - Sede Manizales, 2012. URL http://bdigital.unal.edu.co/7187/.
dc.relationA. Gaszczak, Breckon T., and J. Han J. Real-time people and vehicle detection from UAV imagery. In Juha R oning, David P. Casasent, and Ernest L. Hall, editors, Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques, volume 7878, pages 71 { 83. International Society for Optics and Photonics, SPIE, 2011. doi: 10.1117/12.876663. URL https://doi.org/10.1117/12.876663.
dc.relationJ. Portmann, S. Lynen, M. Chli, and R. Siegwart. People detection and tracking from aerial thermal views. In 2014 IEEE International Conference on Robotics and Automation (ICRA), pages 1794{1800, May 2014. doi: 10.1109/ICRA.2014.6907094.
dc.relationJ.Wetzel, S. Zeitvogel, A. Laubenheimer, and M. Heizmann. Towards global people detection and tracking using multiple depth sensors. In 2018 International Symposium on Electronics and Telecommunications (ISETC), pages 1{4, 2018.
dc.relationC. Alvarez Aparicio, A. M. Guerrero-Higueras, F. J. Rodr guez-Lera, J. G. Clavero, F. M.Rico, and V. Matell an. People detection and tracking using lidar sensors. Robotics, 8(3), 2019. ISSN 2218-6581. URL https://www.mdpi.com/2218-6581/8/3/75
dc.relationS Ram rez Castillo Ram rez Castillo. Estudio de las interferencias en detecci on de blancos para un sistema lidar FMCW. PhD thesis, Escola T ecnica Superior D'enginyeria, 2009.
dc.relationV. Nguyen and J Pyun. Location detection and tracking of moving targets by a 2d ir-uwb radar system. Sensors, 15(3):6740{6762, 2015. ISSN 1424-8220. doi: 10.3390/s150306740. URL https://www.mdpi.com/1424-8220/15/3/6740.
dc.relationA. Shara , M. Baboli, M. Eshghi, and A. Ahmadian. Respiration-rate estimation of a moving target using impulse-based ultra wideband radars. Australasian Physical & Engineering Sciences in Medicine, 35(1):31{39, 2011. doi: 10.1007/s13246-011-0112-2.
dc.relationJ. Landt. The history of r d. IEEE Potentials, 24(4):8{11, Oct 2005. doi: 10.1109/MP.2005.1549751.
dc.relationM. Tu, W. Choi, and P. Cheong. Defected ground structure of uwb chipless r d tag for fmcw radar. In 2018 IEEE International Conference on RFID Technology Application (RFID-TA), pages 1{4, Sep. 2018. doi: 10.1109/RFID-TA.2018.8552781.
dc.relationB. Choudhury, S.and Sinha and S. Swarnabha. Real time location sensing in mining - operators share of the pie. Telecom Business Review, 11(1):17{24, 2018. URL http://ezproxy.unal.edu.co/docview/2297150294?accountid=150292. Copyright - Copyright Publishing India Group 2018; Ultima actualizaci on - 2019-09-26.
dc.relationJR Zhou. Investigaci on sobre localizaci on en interiores utilizando el sistema RFID. PhD thesis, Universidad de Zhejiang, China, 2014.
dc.relationA. Malik Shaari and N. Safwati Mohd Nor. Position and orientation detection of stored object using r d tags. Procedia Engineering, 184:708 { 715, 2017. ISSN 1877-7058. doi: https://doi.org/10.1016/j.proeng.2017.04.146. URL http://www.sciencedirect.com/science/article/pii/S187770581731651X.
dc.relationY.S. Chen, T.C. Kao, and J.P. Sheu. A mobile learning system for scaffolding bird watching learning. Journal of Computer Assisted Learning, 19(3):347{359, 2003. doi: 10.1046/j.0266-4909.2003.00036.x. URL https://onlinelibrary.wiley.com/doi/abs/10.1046/j.0266-4909.2003.00036.x.
dc.relationD. Fortin-Simard, J. Bilodeau, K. Bouchard, S. Gaboury, B. Bouchard, and A. Bouzouane. Exploiting passive r d technology for activity recognition in smart homes. IEEE Intelligent Systems, 30(4):7{15, July 2015. doi: 10.1109/MIS.2015.18.
dc.relationB. Kelvie and M. Kraft. Technology in the mortgage industry: The fannie mae experience. IT Professional, 7(03):27{32, may 2002. ISSN 1941-045X. doi: 10.1109/MITP.2002.1008534.
dc.relationI. Lopez. Introducci on al radar, 2011.
dc.relationJ. W. Choi, S. S. Nam, and S. H. Cho. Multi-human detection algorithm based on an impulse radio ultra-wideband radar system. IEEE Access, 4:10300{10309, 2016. doi: 10.1109/ACCESS.2016.2647226.
dc.relationA. Ishimaru. Electromagnetic wave propagation, radiation, and scattering from fundamentals to applications. John Wiley and Sons, Incorporated, 2017.
dc.relationJ. Lekner. Theory of re ection. SPRINGER, 2018.
dc.relationV. S Chernyak. Fundamentals of Multisite Radar Systems. Routledge, 2018.
dc.relationR. B. Dybdal. Radar cross section measurements. Proceedings of the IEEE, 75(4):498{516, April 1987. doi: 10.1109/PROC.1987.13757.
dc.relationV. C. Chen. Detection and analysis of human motion by radar. In 2008 IEEE Radar Conference, pages 1{4, May 2008. doi: 10.1109/RADAR.2008.4721059.
dc.relationRam M. Narayanan, Sonny Smith, and Kyle A. Gallagher. A multifrequency radar system for detecting humans and characterizing human activities for short-range through-wall and long-range foliage penetration applications. International Journal of Microwave Science and Technology, 2014:1{21, 2014. doi: 10.1155/2014/958905.
dc.relationM. Reiher. Optimierung von Sendesignalen zur Vermeidung von Scheinzielen fur frequenzmodulierte Dauerstrich-Radarsysteme im Automobil. Dr. Hut, 2012.
dc.relationE. Schubert, M. Kunert, W. Menzel, J. Fortuny-Guasch, and J. Chareau. Human rcs measurements and dummy requirements for the assessment of radar based active pedestrian safety systems. In 2013 14th International Radar Symposium (IRS), volume 2, pages 752{757, June 2013.
dc.relationStephen D. Liang. Sense-through-wall human detection based on uwb radar sensors. Signal Processing, 126:117 { 124, 2016. ISSN 0165-1684. doi: https://doi.org/10.1016/j.sigpro.2015.09.022. URL http://www.sciencedirect.com/science/article/pii/S0165168415003242. Signal Processing for Heterogeneous Sensor Networks.
dc.relationY. Zhou, Y. Fan, L. Zhao, and S. Yin. Siso system model identi cation and fault diagnosis. In 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), pages 1866{1870, Oct 2018.
dc.relationA. M. Haimovich, R. S. Blum, and L. J. Cimini. Mimo radar with widely separated antennas. IEEE Signal Processing Magazine, 25(1):116{129, 2008. doi: 10.1109/MSP.2008.4408448.
dc.relationLajos L Hanzo, J Akhtman, Ming Jiang, and Li Wang. Mimo-ofdm for lte, wi and wimax. Wiley, 2013.
dc.relationB. Friedlander. On the relationship between mimo and simo radars. IEEE Transactions on Signal Processing, 57(1):394{398, Jan 2009. doi: 10.1109/TSP.2008.2007106.
dc.relationP. P. Vaidyanathan and P. Pal. Mimo radar, simo radar, and i r radar: a comparison. In 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, pages 160{167, Nov 2009. doi: 10.1109/ACSSC.2009.5470139.
dc.relationJ. P. Stralka, R. M. Thompson, J. Scanlan, and A. Jones. Miso radar beamforming demonstration. In 2011 IEEE RadarCon (RADAR), pages 889{894, May 2011. doi: 10.1109/RADAR. 2011.5960665.
dc.relationY. Prabowo and F. Y. Zulki i. Design of high isolation system for monostatic x-band radar. In 2017 Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL), pages 1351{1353, Nov 2017. doi: 10.1109/PIERS-FALL.2017.8293340.
dc.relationHaidong Yan, Jun Li, and Guisheng Liao. Multitarget identi cation and localization using bistatic mimo radar systems. EURASIP J. Adv. Signal Process, 2008: 48:1{48:8, January 2008. ISSN 1110-8657. doi: 10.1155/2008/283483. URL https://doi.org/10.1155/2008/283483.
dc.relationPramod K. Varshney. Fundamentals of multisite radar systems: Victor s. chernyak, gordon and breach science publishers, 1998, 475 pp., isbn 90-5699-165-5. Signal Processing, 81: 2617, 2001.
dc.relationH. Meikle. Modern radar systems. Artech House, 2008.
dc.relationC. Kabakchiev, I. Garvanov, V. Behar, and H. Rohling. The experimental study of possibility for radar target detection in fsr using l1-based non-cooperative transmitter. In 2013 14th International Radar Symposium (IRS), volume 2, pages 625{630, June 2013.
dc.relationS. A. Kaiser, A. J. Christianson, and R. M. Narayanan. Multistatic radar exploitation of forward scattering nulls. In 2016 IEEE Radar Conference (RadarConf), pages 1{6, May 2016. doi: 10.1109/RADAR.2016.7485128.
dc.relationM. Hamid and N. Bjorsell. "base de datos de oportunidades de espectro de geolocalizaci on en bandas de radar de enlace descendente para radios cognitivas basadas en ofdm", 2011.
dc.relationK. Yujong, S. Setiniyaz, M. Titberidze, and K. H. Jang. Overall perfonmance comparision of s-band, c-band and x-band based compact xfel facilities, 2012. URL http://accelconf.web.cern.ch/AccelConf/FEL2012/papers/mopd48.pdf.
dc.relationK. Granstrom, A. Natale, P. Braca, G. Ludeno, and F. Sera no. Gamma gaussian inverse wishart probability hypothesis density for extended target tracking using x-band marine radar data. IEEE Transactions on Geoscience and Remote Sensing, 53(12):6617{6631, Dec 2015. doi: 10.1109/TGRS.2015.2444794.
dc.relationM. Otero. Application of a continuous wave radar for human gait recognition. In Ivan Kadar, editor, Signal Processing, Sensor Fusion, and Target Recognition XIV, volume 5809, pages 538 { 548. International Society for Optics and Photonics, SPIE, 2005. doi: 10.1117/12.607176. URL https://doi.org/10.1117/12.607176.
dc.relationV.C. Chen, Fayin Li, Shen-Shyang Ho, and H. Wechsler. Micro-doppler e ect in radar: phenomenon, model, and simulation study. IEEE Transactions on Aerospace and Electronic Systems, 42(1):2{21, 2006. doi: 10.1109/taes.2006.1603402.
dc.relationK. Chetty, Q. Chen, M.Ritchie, and K. Woodbridge. A low-cost through-the-wall FMCW radar for stand-o operation and activity detection. In Kenneth I. Ranney and Armin Doerry, editors, Radar Sensor Technology XXI, volume 10188, pages 65 { 73. International Society for Optics and Photonics, SPIE, 2017. doi: 10.1117/12.2261680. URL https://doi.org/10.1117/12.2261680.
dc.relationSevgi Z ubeyde G urb uz. RADAR DETECTION AND IDENTIFICATION OF HUMAN SIGNATURES USING MOVING PLATFORMS. PhD thesis, Georgia Institute of Technology, 2009.
dc.relationE. Zaikov. Uwb radar for detection and localization of trapped people. In 11-th INTERNATIONAL RADAR SYMPOSIUM, pages 1{4, June 2010. doi: 10.5772/10004.
dc.relationZ. Li, Q. An, F. Qi, F. Liang, H. Lv, Y. Zhang, X. Yu, and J. Wang. Detection of people trapped under the ruins using dual-frequency ir-uwb radar. In 2018 15th European Radar Conference (EuRAD), pages 83{86, Sep. 2018. doi: 10.23919/EuRAD.2018.8546530.
dc.relationR. Lia~no. Fabricaci on y puesta en marcha de un radar FMCW de bajo coste en banda S. PhD thesis, Centro Universitario de la Defensa en la Escuela Naval Militar, 2015.
dc.relationHollis C Chen. Theory of electromagnetic waves. TechBooks, 1992.
dc.relationW. Chunming and D Guoliang. Study of uwb radar life-detection for searching human subjects. Energy Procedia, 17:1028 { 1033, 2012. ISSN 1876-6102. doi: https://doi.org/10.1016/j.egypro.2012.02.203. 2012 International Conference on Future Electrical Power and Energy System.
dc.relationG. H. Lu, G.S. Yang, and J.Q. Wang. The study on detection of the life signals of human subject based on micropower uwb radar. Chinese Medical Equipment Journal, 26(2):15{17, 2005.
dc.relationL. Liu, Z. Liu, and B. E. Barrowes. Through-wall bio-radiolocation with uwb impulse radar: Observation, simulation and signal extraction. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4(4):791{798, Dec 2011. doi: 10.1109/JSTARS. 2011.2157461.
dc.relationA. G. Yarovoy, L. P. Ligthart, J. Matuzas, and B. Levitas. Uwb radar for human being detection. IEEE Aerospace and Electronic Systems Magazine, 21(3):10{14, March 2006. doi: 10.1109/MAES.2006.1624185.
dc.relationS. Gezici and Z. Sahinoglu. Theoretical limits for estimation of vital signal parameters using impulse radio uwb. In 2007 IEEE International Conference on Communications, pages 5751{5756, June 2007. doi: 10.1109/ICC.2007.953.
dc.relationM. Z. Win and R. A. Scholtz. Impulse radio: how it works. IEEE Communications Letters, 2(2):36{38, Feb 1998. doi: 10.1109/4234.660796.
dc.relationZ. Li, W. Li, H. Lv, Y. Zhang, X. Jing, and J. Wang. A novel method for respirationlike clutter cancellation in life detection by dual-frequency ir-uwb radar. IEEE Transactions on Microwave Theory and Techniques, 61(5):2086{2092, May 2013. doi: 10.1109/TMTT.2013.2247054.
dc.relationF. Khan, S. K. Leem, and S. H. Cho. Hand-based gesture recognition for vehicular applications using ir-uwb radar. Sensors, 17(4), 2017. ISSN 1424-8220. doi: 10.3390/s17040833. URL https://www.mdpi.com/1424-8220/17/4/833.
dc.relationB. Schleicher, I. Nasr, A. Trasser, and H. Schumacher. Ir-uwb radar demonstrator for ultra- ne movement detection and vital-sign monitoring. IEEE Transactions on Microwave Theory and Techniques, 61(5):2076{2085, May 2013. doi: 10.1109/TMTT.2013.2252185.
dc.relationJ.A. Vilcapoma Villalba. Sistema de radiocomunicaci on como alternativa al sistema de localizaci on satelital en el monitoreo y localizaci on de unidades m oviles de las empresas de taxi. PhD thesis, Universidad Continental, Huancayo, Per u., 2019.
dc.relationL. M. Ni, D. Zhang, and M. R. Souryal. R d-based localization and tracking technologies. IEEE Wireless Communications, 18(2):45{51, April 2011. doi: 10.1109/MWC.2011.5751295.
dc.relationA. Costanzo, D. Masotti, T. Ussmueller, and R. Weigel. Tag, you're it: Ranging and nding via r d technology. IEEE Microwave Magazine, 14(5):36{46, July 2013. doi: 10.1109/MMM.2013.2259392.
dc.relationM. Li, Y. Chen, Y. Zhang, J. Yang, and H. Du. Fusing r d and computer vision for occlusionaware object identifying and tracking. In Edoardo S. Biagioni, Yao Zheng, and Siyao Cheng, editors, Wireless Algorithms, Systems, and Applications, pages 175{187, Cham, 2019. Springer International Publishing. ISBN 978-3-030-23597-0.
dc.relationCh. Fu, Y.and Wang, R. Liu, G. Liang, H. Zhang, and S. Ur Rehman. Moving object localization based on uhf r d phase and laser clustering. Sensors, 18(3), 2018. ISSN 1424-8220. doi: 10.3390/s18030825. URL https://www.mdpi.com/1424-8220/18/3/825.
dc.relationR. Liu, A. Koch, and A. Zell. Path following with passive uhf r d received signal strength in unknown environments. In 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 2250{2255, Oct 2012. doi: 10.1109/IROS.2012.6385666.
dc.relationChangjiang Xiao, Nengcheng Chen, Dandan Li, You Lv, and Jianya Gong. Scrms: An r d and sensor web-enabled smart cultural relics management system. Sensors, 17(1), 2017. ISSN 1424-8220. doi: 10.3390/s17010060. URL https://www.mdpi.com/1424-8220/17/1/60.
dc.relationDaiki Min and Yuehwern Yih. Fuzzy logic-based approach to detecting a passive r d tag in an outpatient clinic. Journal of Medical Systems, 35(3):423{432, Jun 2011. ISSN 1573-689X. doi: 10.1007/s10916-009-9377-3. URL https://doi.org/10.1007/s10916-009-9377-3.
dc.relationD. Fortin-Simard, K. Bouchard, S. Gaboury, B. Bouchard, and A. Bouzouane. Accurate passive r d localization system for smart homes. In 2012 IEEE 3rd International Conference on Networked Embedded Systems for Every Application (NESEA), pages 1{8, Dec 2012. doi: 10.1109/NESEA.2012.6474010.
dc.relationW. Gueaieb and M. S. Miah. An intelligent mobile robot navigation technique using r d technology. IEEE Transactions on Instrumentation and Measurement, 57(9):1908{1917, Sep. 2008. doi: 10.1109/TIM.2008.919902.
dc.relationChih-Yung Chen, Jen-Pin Yang, Guang-Jeng Tseng, Yi-Huan Wu, and Rey-Chue Hwang. An indoor positioning technique based on fuzzy logic. International Multiconference of Engineers and Computer Scientists, 2:17{19, 2010.
dc.relationHaifa Ben Saber and Mourad Elloumi. Flbra: Indoor wireless sensor networks for fuzzy logic based routing algorithm. Journal of Engineering Technology, 6(2):239{257, 2016. doi: 10.21859/jet-060220.
dc.relationC.M. Roberts. Radio frequency identi cation (r d). Computers & Security, 25(1):18 { 26, 2006. ISSN 0167-4048. doi: https://doi.org/10.1016/j.cose.2005.12.003. URL http://www.sciencedirect.com/science/article/pii/S016740480500204X.
dc.relationR. Bhattacharyya, C. Floerkemeier, and S. Sarma. Low-cost, ubiquitous r d-tagantenna- based sensing. Proceedings of the IEEE, 98(9):1593{1600, Sep. 2010. doi: 10.1109/JPROC.2010.2051790.
dc.relationC. Balanis. Antenna theory. Wiley-Interscience, 2016.
dc.relationS. L opez Soriano. Dise~no de antenas para etiquetas de r d en escenarios de alta exigencia, 2019. URL http://hdl.handle.net/10803/462033.
dc.relationG. Marrocco. The art of uhf r d antenna design: impedance-matching and size-reduction techniques. IEEE Antennas and Propagation Magazine, 50(1):66{79, Feb 2008. doi: 10.1109/MAP.2008.4494504.
dc.relationP. V. Nikitin, K. V. S. Rao, S. F. Lam, V. Pillai, R. Martinez, and H. Heinrich. Power re ection coe cient analysis for complex impedances in r d tag design. IEEE Transactions on Microwave Theory and Techniques, 53(9):2721{2725, Sep. 2005. doi: 10.1109/TMTT.2005.854191.
dc.relationJ. D. Gri n and G. D. Durgin. Complete link budgets for backscatter-radio and r d systems. IEEE Antennas and Propagation Magazine, 51(2):11{25, April 2009. doi: 10.1109/MAP.2009.5162013.
dc.relationT. Hassan and S. Chatterjee. A taxonomy for r d. In Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06), volume 8, pages 184b{184b, Jan 2006. doi: 10.1109/HICSS.2006.32.
dc.relationC. Harrison and R. King. Folded dipoles and loops. IRE Transactions on Antennas and Propagation, 9(2):171{187, March 1961. doi: 10.1109/TAP.1961.1144962.
dc.relationH. Morishita, Yongho Kim, Y. Koyanagi, and K. Fujimoto. A folded loop antenna system for handsets. In IEEE Antennas and Propagation Society International Symposium. 2001 Digest. Held in conjunction with: USNC/URSI National Radio Science Meeting (Cat. No.01CH37229), volume 3, pages 440{443 vol.3, July 2001. doi: 10.1109/APS.2001.960129.
dc.relationNasimuddin, Z. N. Chen, and X. Qing. Asymmetric-circular shaped slotted microstrip antennas for circular polarization and r d applications. IEEE Transactions on Antennas and Propagation, 58(12):3821{3828, Dec 2010. doi: 10.1109/TAP.2010.2078476.
dc.relationC. Calabrese and G. Marrocco. Meandered-slot antennas for sensor-r d tags. IEEE Antennas and Wireless Propagation Letters, 7:5{8, 2008. doi: 10.1109/LAWP.2007.914123.
dc.relationK. Fotopoulou and B. W. Flynn. Optimum antenna coil structure for inductive powering of passive r d tags. In 2007 IEEE International Conference on RFID, pages 71{77, March 2007. doi: 10.1109/RFID.2007.346152.
dc.relationL. Ukkonen, M. Scha rath, D. W. Engels, L. Sydanheimo, and M. Kivikoski. Operability of folded microstrip patch-type tag antenna in the uhf r d bands within 865- 928 mhz. IEEE Antennas and Wireless Propagation Letters, 5:414{417, 2006. doi: 10.1109/LAWP.2006.883085.
dc.relationB. Casta~no, Y. E-Mart n, and L. R-Moreno, M.and Usero. Sistema inteligente de detecci on y orientaci on de usuarios en bibliotecas. Revista espa~nola de Documentaci on Cient ca, 36(1), 2013. doi: 10.3989/redc.2013.1.916.
dc.relationM. Kristou, A. Ohya, and S. Yuta. Target person identi cation and following based on omnidirectional camera and lrf data fusion. In 2011 RO-MAN, pages 419{424, July 2011. doi: 10.1109/ROMAN.2011.6005248.
dc.relationT. Germa, F. Lerasle, N. Ouadah, and V. Cadenat. Vision and r d data fusion for tracking people in crowds by a mobile robot. Computer Vision and Image Understanding, 114(6): 641 { 651, 2010. ISSN 1077-3142. doi: https://doi.org/10.1016/j.cviu.2010.01.008. URL http://www.sciencedirect.com/science/article/pii/S1077314210000317. Special Issue on Multi-Camera and Multi-Modal Sensor Fusion.
dc.relationF. Seco, K. Koutsou, F. Ramos, and A. R. Jim enez. Localizaci on personal en entornos interiores con tecnolog a r d. Revista Iberoamericana de Autom atica e Inform atica Industrial RIAI, 10(3):313{324, 2013. doi: 10.1016/j.riai.2013.05.004.
dc.relationJun Zhang, Gui Tian, Adi Marindra, Ali Sunny, and Ao Zhao. A review of passive r d tag antenna-based sensors and systems for structural health monitoring applications. Sensors, 17(2):265, 2017. doi: 10.3390/s17020265.
dc.relationD. Bao, Z. Zou, M. Baghaei Nejad, Y. Qin, and L. Zheng. A wirelessly powered uwb r d sensor tag with time-domain analog-to-information interface. IEEE Journal of Solid-State Circuits, 53(8):2227{2239, Aug 2018. doi: 10.1109/JSSC.2018.2825455.
dc.relationS. Kunkel, R. Bieber, Ming-Shih Huang, and M. Vossiek. A concept for infrastructure independent localization and augmented reality visualization of r d tags. In 2009 IEEE MTT-S International Microwave Workshop on Wireless Sensing, Local Positioning, and RFID, pages 1{4, Sep. 2009. doi: 10.1109/IMWS2.2009.5307726.
dc.relationG. A. Hofbauer. Fmcw based readout system accuracy enhancement techniques for surface acoustic wave r d sensors. In 2007 IEEE/MTT-S International Microwave Symposium, pages 575{578, June 2007. doi: 10.1109/MWSYM.2007.380555.
dc.relationA. Rodriguez Carmona and M. Rodelgo. Desarrollo de un sistema de inteligencia arti cial para la identi caci on del tr a co a ereo, 2019. URL http://calderon.cud.uvigo.es/handle/123456789/242.
dc.relationO. Villota. C omo la inteligencia arti cial altera el paisaje de las seguridades. Revista Conjeturas Sociol ogicas, 7(19):157{198, 2019. ISSN 2313-013X. URL http://revistas.ues.edu.sv/index.php/conjsociologicas/article/view/1492.
dc.relationJ. G. Chac on Rangel, A. S. Fl orez Fuentes, and J. E. Rodr guez Fern andez. La inteligencia arti cial y sus contribuciones a la f sica m edica y la bioingenier a. Mundo FESC, 5(9):60{63, dic. 2015. URL https://www.fesc.edu.co/Revistas/OJS/index.php/mundofesc/article/view/59.
dc.relationJ. Castanheira, F. Curado, A. Tom e, and E. Gon calves. Machine learning methods for radar-based people detection and tracking. In Paulo Moura Oliveira, Paulo Novais, and Lu s Paulo Reis, editors, Progress in Arti cial Intelligence, pages 412{423, Cham, 2019. Springer International Publishing. ISBN 978-3-030-30241-2.
dc.relationJ. Park and S. H. Cho. Ir-uwb radar sensor for human gesture recognition by using machine learning. In 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), pages 1246{1249, Dec 2016. doi: 10.1109/HPCC-SmartCity-DSS.2016.0176.
dc.relationS. Banitaan, M. Azzeh, and A. B. Nassif. User movement prediction: The contribution of machine learning techniques. In 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), pages 571{575, Dec 2016. doi: 10.1109/ICMLA. 2016.0100.
dc.relationJ. Garcia-Alvarez and G. Castellanos. Region of interest extraction method using wavelets. In 2009 Second International Conference on Communication Theory, Reliability, and Quality of Service, pages 119{124, July 2009. doi: 10.1109/CTRQ.2009.28.
dc.relationA. Treptow, G. Cielniak, and T. Duckett. Real-time people tracking for mobile robots using thermal vision. Robotics and Autonomous Systems, 54(9):729 { 739, 2006. ISSN 0921-8890. doi: https://doi.org/10.1016/j.robot.2006.04.013. URL http://www.sciencedirect.com/science/article/pii/S0921889006000832. Selected papers from the 2nd European Conference on Mobile Robots (ECMR '05).
dc.rightsReconocimiento 4.0 Internacional
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleAnálisis de sistemas de detección e identificación de personas en ambiente de laboratorio utilizando radar y RFID
dc.typeTrabajo de grado - Maestría


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