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Warianty tytułu
Języki publikacji
Abstrakty
At the turn of the 20th and 21st centuries, development of microelectronics and microwave techniques allowed for minimization of electronic devices and systems, and the use of microwave frequency bands for modern radio communication systems. On the other hand, the global navigation satellite system (GNSS) have contributed to the popularization of radio navigation in civilian applications. These factors had a direct impact on the development and dissemination of unmanned aerial vehicles (UAVs). In the initial period, the UAVs were used mainly for the army needs. This results also from the legal aspects of the UAV use in the airspace. Currently, commercial UAVs for civilian applications, such as image recognition, monitoring, transport, etc., are presented increasingly. Generally, the GNSS system accuracy for the UAV positioning during a flight is enough. However, the GNSS use for automatic takeoff and landing may be insufficient. The extensive, ground-based navigation support systems used at airports by manned aircraft testify to these. In the UAV case, such systems are not used due to their complexity and price. For this reason, the novel dedicated take-off and landing systems are developed. The proposal of the autonomous landing system, which is based on the Doppler effect, was presented in 2017. In this case, the square-based beacon configuration was analyzed. This paper shows the influence of various beacon configurations in the Doppler-based landing system on the positioning error during the UAV landing approach.
Rocznik
Tom
Strony
429--435
Opis fizyczny
Bibliogr. 37 poz., rys., tab.
Twórcy
autor
- Military University of Technology, Warsaw, Poland
autor
- Military University of Technology, Warsaw, Poland
Bibliografia
- [1] Groves, P.D. 2013. Principles of GNSS, inertial, and multisensor integrated navigation systems, 2nd ed. Boston, MA, USA: Artech House.
- [2] Tortonesi, M., Stefanelli, C., Benvegnu, E., Ford, K., Suri, N. & Linderman, M. 2012. Multiple‐UAV coordination and communications in tactical edge networks. IEEE Communications Magazine 50(10): 48–55.
- [3] Orfanus, D. de Freitas, E.P. & Eliassen, F. 2016. Selforganization as a supporting paradigm for military UAV relay networks. IEEE Communications Letters 20(4): 804–807.
- [4] Ma’sum, M.A., Arrofi, M.K., Jati, G., Arifin, F., Kurniawan, M.N., Mursanto, P. & Jatmiko, W. 2013. Simulation of intelligent unmanned aerial vehicle (UAV) for military surveillance. 2013 International Conference on Advanced Computer Science and Information Systems (ICACSIS), Bali, Indonesia, 28–29 September 2013: 161–166
- [5] Babak, S., Myslovych, M. & Sysak, R. 2016. Module structure of UAV‐based computerized systems for remote environment monitoring of energy facilities. 2016 17th International Conference Computational Problems of Electrical Engineering (CPEE), Sandomierz, Poland, 14– 17 September 2016: 1–3
- [6] Daliento, S., Chouder, A., Guerriero, P., Pavan, A.M., Mellit, A., Moeini, R. & Tricoli, P. 2017. Monitoring, diagnosis, and power forecasting for photovoltaic fields: A review. International Journal of Photoenergy 2017(e1356851): 1–13.
- [7] Quater, P.B., Grimaccia, F., Leva, S. Mussetta, M. & Aghaei, M. 2014. Light unmanned aerial vehicles (UAVs) for cooperative inspection of PV plants. IEEE Journal of Photovoltaics 4(4):1107–1113.
- [8] Grimaccia, F., Aghaei, M., Mussetta, M., Leva, S. & Quater, P.B. 2015. Planning for PV plant performance monitoring by means of unmanned aerial systems (UAS). International Journal of Energy and Environmental Engineering 6(1): 47–54.
- [9] Berni, J.A.J., Zarco‐Tejada, P.J., Suarez, L. & Fereres, E. 2009. Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Transactions on Geoscience and Remote Sensing 47(3): 722–738.
- [10] Wijitdechakul, J., Sasaki, S., Kiyoki, Y. & Koopipat, C. 2016. UAV‐based multispectral image analysis system with semantic computing for agricultural health conditions monitoring and real‐time management. 2016 International Electronics Symposium (IES), Denpasar, Indonesia, 29–30 September 2016: 459–464.
- [11] Yuan, C., Liu, Z., & Zhang, Y. 2016. Vision‐based forest fire detection in aerial images for firefighting using UAVs. 2016 International Conference on Unmanned Aircraft Systems (ICUAS), Arlington, VA, USA, 7–10 June 2016: 1200–1205.
- [12] Ghamry, K.A., Kamel, M.A. & Zhang, Y. 2016. Cooperative forest monitoring and fire detection using a team of UAVs‐UGVs. 2016 International Conference on Unmanned Aircraft Systems (ICUAS), Arlington, VA, USA, 7–10 June 2016: 1206–1211
- [13] Rathinam, S., Almeida, P., Kim, Z., Jackson, S., Tinka, A., Grossman, W. & Sengupta, R. 2007. Autonomous searching and tracking of a river using an UAV. 2007 American Control Conference (ACC), New York, NY, USA, 9–13 July 2007: 359–364.
- [14] Popescu, D., Ichim, L. & Caramihale, T. 2015. Flood areas detection based on UAV surveillance system. 2015 19th International Conference on System Theory, Control and Computing (ICSTCC), Cheile Gradistei, Romania, 14–16 October 2015: 753–758.
- [15] Lu, Y. Macias, D. Dean, Z.S., Kreger, N.R. & Wong, P.K. 2015. A UAV‐mounted whole cell biosensor system for environmental monitoring applications. IEEE Transactions on NanoBioscience 14(8): 811–817.
- [16] Erdos, D., Erdos, A. & Watkins, S.E. 2013. An experimental UAV system for search and rescue challenge. IEEE Aerospace and Electronic Systems Magazine 28(5): 32–37.
- [17] Mozaffari, M., Saad, W. Bennis, M. & Debbah, M. 2017. Optimal transport theory for cell association in UAVenabled cellular networks. IEEE Communications Letters 21(9): 2053–2056.
- [18] Hoareau, G., Liebenberg, J.J., Musial, J.G. & Whitman, T.R. 2016. Package transport by unmanned aerial vehicles. Patent US20160068265 A1
- [19] Towards a European strategy for the development of civil applications of Remotely Piloted Aircraft Systems (RPAS). 2012. Brussels, Belgium: Council of the European Union
- [20] van Blyenburgh, P. 2012. Towards a European strategy for the development of civil applications of RPAS. UAS Vision. Available: https://www.uasvision.com/2012/09/07/towards‐aeuropean‐strategy‐for‐the‐development‐of‐civilapplications‐of‐rpas/
- [21] Duszczyk, M. 2017. Forecasts for the drone market are promising (in Polish). Rzeczpospolita, Available: https://www.rp.pl/Sylwetki/303209855‐Prognozy‐dlarynku‐dronow‐sa‐obiecujace.html
- [22] Kaplan, E.D. & Hegarty, C. (eds). 2005. Understanding GPS: Principles and applications, 2nd ed. Boston, MA, USA: Artech House, 2005.
- [23] van Diggelen, F. 2009. A‐GPS: Assisted GPS, GNSS, and SBAS. Boston, MA, USA: Artech House, 2009.
- [24] Kayton, M. & Fried, W.R. 1997. Avionics navigation systems, 2nd ed. New York, NY, USA: WileyInterscience.
- [25] Kelner, J.M., Ziółkowski, C. & Nowosielski, L. 2016. Local navigation system for VTOLs used on the vessels. 2016 IEEE/ION Position, Location and Navigation Symposium (PLANS), Savannah, GA, USA11–14 April 2016: 415–421.
- [26] Kelner, J.M., Ziółkowski, C. & Kachel, L. 2008. The empirical verification of the location method based on the doppler effect. 2008 17th International Conference on Microwaves, Radar and Wireless Communications (MIKON), Wrocław, Poland, 19–21 May 2008. vol. 3: 755– 758.
- [27] Kelner, J.M. 2010. Analysis of the Doppler location method of the radio waves emission sources, Ph.D. Thesis (in Polish). Warsaw, Poland: Military University of Technology.
- [28] Gajewski, P., Ziółkowski, C. & Kelner, J.M. 2012. Using SDF method for simultaneous location of multiple radio transmitters. 2012 19th International Conference on Microwave Radar and Wireless Communications (MIKON), Warsaw, Poland, 21–23 May 2012. vol. 2: 634–637.
- [29] Kelner, J.M. 2011. Positioning an aircraft using the TDSDF method. Polish Journal of Environmental Studies 20(5A): 80–84.
- [30] Kelner, J.M. & Ziółkowski, C. 2011. The concept of Doppler Landing Approach Precision System (DOLAPS) Polish Journal of Environmental Studies 20(5A): 85–90.
- [31] Kelner, J.M. & Ziółkowski, C. 2017. Doppler effectbased automatic landing procedure for UAV in difficult access environments. Journal of Advanced Transportation 2017(e8092718): 1–9.
- [32] Kelner, J.M., Ziółkowski, C. & Marszałek, P. 2016. Influence of the frequency stability on the emitter position in SDF method. 2016 17th International Conference on Military Communications and Information Systems (ICMCIS), Brussels, Belgium, 23‐24 May 2016: 1– 6.
- [33] Grayver, E. 2012. Implementing software defined radio. New York, NY, USA: Springer.
- [34] Mitola, J. 2000. Software radio architecture: objectoriented approaches to wireless systems engineering. New York, NY, USA: Wiley.
- [35] Kelner, J.M. & Ziółkowski, C. 2015. The use of SDF technology to BPSK and QPSK emission sources’ location (in Polish). Przegląd Elektrotechniczny 91(3): 61– 65.
- [36] Stefański, J. 2015. Asynchronous time difference of arrival (ATDOA) method. Pervasive and Mobile Computing 23: 80–88.
- [37] Sadowski, J. & Stefański, J. 2017. Asynchronous phaselocation system. Journal of Marine Engineering & Technology 16(4): 400–408
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019). W oryginale błędna numeracja bibliografii.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-824a8363-3aa1-412b-be1d-21f7115fa7bd