Tracking and multitracking radar
DOI:
https://doi.org/10.18667/cienciaypoderaereo.9Keywords:
Predicción de trayectorias, procesamiento de señales radar, racking radarAbstract
The Air Defense Systems and Command Control System (C2) are critical systems in which each stage affects the performance and the average error of the all system. The Center for the Development of Aerospace Defense Technology - CETAD have been working to develop tracking techniques to suit the needs of the Air Force of Colombia, as discussed in this article.
Downloads
References
Air Traffic Control Association (2011). Air Traffic Control Association - 56th Air Traffic Control Association. Annual Conference 2011.
Barrios & Motai. (2011). Improving Estimation of Vehicle's Trayectory Using the Latest Global positioning System Whit Kalman Filtering. IEEE Transactions on Signal Processing. USA: Univ. of Vermont, Burlington.
https://doi.org/10.1109/TIM.2011.2147670
Centro de Desarrollo Tecnológico Aeroespacial para la Defensa.(2013). Documentación Sistema de Comando y Control Colombiano Horus. 1 ed. Rionegro: autor.
CETAD (2012). Imagen Señal Cruda - Sistema de Comando y Control Colombiano. Rionegro: Autor.
CETAD-FAC. (2009). Imagen Señal Procesada Con Tracking - Sistema de Comando y Control Colombiano. Rionegro: Autor.
Chen, S.H., Hsu. C. W. & Huang, S. C. (2012, Sept). Recursive estimation of vehicle position by using navigation sensor fusion. In 12th International Conference on ITS Telecommunications, ITST 2012, pp. 532-536.
Ching, I. P. W. L., Yongzhi, L. Chin, & D. Mital. (1998) Neurofuzzy techniques for airborne target tracking. In International Conference on Knowledge-Based Intelligent Electronic Systems, Proceedings, KES. Vol. 2, pp. 251-257. NJ, United States: Piscataway.
Cobano, J. A., Conde, R., Alejo, D., & Ollero, A. (2011, May). Path planning based on Genetic Algorithms and the Monte-Carlo method to avoid aerial vehicle collisions under uncertainties. IEEE International Conference on Robotics and Automation, pp. 4429-4434. Seville, Spain: Univ. of Seville.
https://doi.org/10.1109/ICRA.2011.5980246
Deng, Z.L. Y., Gao, L. Mao, Y. Li, & Hao, G., (2005, Oct.) New approach to information fusion steady-state Kalman filtering. Automatica. Vol. 41(10), pp. 1695-1707. Department of Automation, Heilongjiang University, Harbin, People's Republic of China.
https://doi.org/10.1016/j.automatica.2005.04.020
El Abed, Dubuisson, & Béréziat. (2012, Apr). Spatio-temporal targetmeasure association using an adaptive geometrical approach. Pattern Recognition Letters. Vol. 33 (6), pp. 765-774. Laboratoire d'Informatique de Paris 6, Université Pierre et Marie Curie, 4 place Jussieu, 75005 Paris, France.
https://doi.org/10.1016/j.patrec.2011.11.018
Evans, T. (1997). Airborne situation awareness. In IEE Colloquium (Digest). No. 169, pp. 5/1-5/13.
Evans, T. (1997). Airborne situation awareness. In IEE Colloquium (Digest). No. 169, pp. 5/1-5/13.
Gong, C. & McNally, D. (2004). A methodology for automated trajectory prediction analysis. In Collection of Technical Papers - AIAA Guidance, Navigation, and Control Conference. Vol. 1, pp. 432-445.NASA Ames.
https://doi.org/10.2514/6.2004-4788
Jiménez Martin, J. L, (2005). Nuevas técnicas de generación de señal para sistemas radar de alata resolución y baja probabilidad de error. Madrid, España: Universidad Politécnica de Madrid.
Khan, R. H. (1996). Target detection and tracking with HF radar using ISAR techniques. In IEEE National Radar Conference - Proceedings., pp. 94-99. NJ, United States: Piscataway.
https://doi.org/10.1109/NRC.1996.510663
Khrebtov, P., Pöttker, A., Max S. & Vossick, M. (2007). A wireless location system for sensing the relative position between mining vehicles. In Conference Record - IEEE Instrumentation and Measurement Technology Conference.
https://doi.org/10.1109/IMTC.2007.379211
Kolawole, M. (2002). Decision Theory. In Radar Systems, Peak Detection and Tracking. Elsevier.
https://doi.org/10.1016/B978-075065773-0/50014-5
Liu J. & Deng, Z. (2012). Information Fusion Kalman Predictor for Two-Sensor Multichannel ARMA Signal System with Time-Delayed Measurements. Procedia Engineerin. Vol. 29, pp. 623-629.
https://doi.org/10.1016/j.proeng.2012.01.014
Matsunaga, K., Senoguchi A., & Koga, T. (2012). Validation test of Downlink Aircraft Parameters via SSR mode S experimental system. In Proceedings International Radar Symposium, pp. 193-198.
https://doi.org/10.1109/IRS.2012.6233314
Miquel, T. F, Mora-Camino, & Loscos, J.-M (2006). Path stretching and tracking for time-based aircraft spacing at meter fix. In Collection of Technical Papers - AIAA Guidance, Navigation, and Control Conference 2006. Vol. 1, pp. 411-418.
https://doi.org/10.2514/6.2006-6064
Neri, F. C. (2007). Electronic Defense Systems.
Nolan, M. S. (1998). Fundamentals of Air Traffic Control. Third Edit. OACI - Organización de los Sistemas de Sensores de Vigilancia (1998). Manual Sobre Ensayo de Sistemas del Radar de Vigilancia. Primera Ed: Autor.
_______(1998). Metodología para los ensayos de actuación de los sistemas radar. In Manual Sobre Ensayo de Sistemas del Radar de Vigilancia. Primera Ed.: Autor.
Pelosi, M., Kopp C., & Brown, M. (2012). Range-limited UAV trajectory using terrain masking under radar detection risk. Applied Artificial Intelligenc. Vol. 26 (8), pp. 743-759.
https://doi.org/10.1080/08839514.2012.713308
Ran, C. & Deng, Z. (2012, Jun). Self-tuning weighted measurement fusion Kalman filtering algorithm," Computational Statistics & Data Analysis. Vol. 56 (6), pp. 2112-2128.
https://doi.org/10.1016/j.csda.2012.01.001
_______________. (2011, Aug.) Self-tuning distributed measurement fusion Kalman estimator for the multi-channel ARMA signal. Signal Processing. Vol. 91(8), pp. 2028-204.
https://doi.org/10.1016/j.sigpro.2011.03.010
Richards, M. A. (2005). 2.3 Clutter. In: Fundamentals of Radar Signal Procesing. Georgia Tech Research Institute
Rushby, J. (1994). Critical System Properties. Vol. 43(2), pp. 189-219. National Aeronautics and Space Administration Langley. Research Center and the US Naval Research Laboratory.
https://doi.org/10.1016/0951-8320(94)90065-5
Skolnik, M. I. (2001). 5.3 Detection Criteria. In Introduction to Radar System. Third Edit. MacGraw-Hill.
____________ (1990) Radar Handbook. Second Ed. McGraw Hill.
____________ (2008). Chapter 7. Automatic Detection Tracking ande sensor integration. In Radar Handbook. Third Edit. New York.
Stakkeland, M. & Brekke, E. F. (2009). Tracking of targets with state dependent measurement errors using recursive BLUE filter, pp. 2052-2061. Univ. Grad. Center, Kjeller, Norway.
Tomlin, C., (1998). Hybrid Control of Air Traffic Management System. Ph.D. Dissertation. U california.
Víctor Baptista, U. E.; Frencil, C.; Val, Joao Bosco Ribeiro Do.; & R. S. M. E. (2012, Apr). Filtragem Utilizando Imm-Ekf-Blue Em Modelos De Giro Constante Con Taxa De Giro Desconhecida. Universidad Estadual de Campinas.
Wang X. & Sun, S.L. (2012). Measurement feedback self-tuning weighted measurement fusion Kalman filter for systems with correlated noises. Journal of Applied Mathematics.
https://doi.org/10.1155/2012/324296
Zhang, P. W., Qi, & Deng, Z. (2012). Multi-channel ARMA Signal Covariance Intersection Fusion Kalman Predictor. Procedia Engineering. Vol. 29, pp. 609-615. International Workshop on Information and Electronics Engineering: Elsevier.
Downloads
Published
Issue
Section
License
Assignment of Copyrights
Authors assign Ciencia y Poder Aéreo journal the exclusive rights (reproduction, distribution, public communication, and transformation) to exploit and commercialize their work, in whole or in part, in all the formats and modalities of present or future exploitation, in all languages, throughout the life of the work and throughout the world.
All contents published in Ciencia y Poder Aéreo journal are licensed under a Creative Commons Attribution 4.0 International License, whose complete information is available at http://creativecommons.org/licenses/by/4.0/
Under the terms of this license, users are free to download, print, extract, archive, distribute and publicly communicate the content of articles, provided that proper credit is granted to authors and Ciencia y Poder Aéreo, scientific journal of the Graduate School of the Colombian Air Force. Except when otherwise indicated, this site and its contents are licensed under a Creative Commons Attribution 4.0 International License.
For other uses not considered under this license it is required to contact the Director or the Editor of the journal at the e-mail address cienciaypoderaereo1@gmail.com.
The Graduate School of the Colombian Air Force and this publication are not responsible for the concepts expressed in the articles, including the metadata or the affiliation stated by authors. This is the full responsibility of the authors.
