Estimation of Flight Path Deviations for SAR Radar Installed on UAV

• Autorzy: Łabowski M. , Kaniewski P. , Konatowski S.

Identyfikatory

DOI

10.1515/mms-2016-0034

• Języki publikacji: EN

Abstrakty

EN

The paper presents a method of calculation of position deviations from a theoretical, nominally rectilinear trajectory for a SAR imaging system installed on board of UAV. The UAV on-board system consists of a radar sensor, an antenna system, a SAR processor and a navigation system. The main task of the navigation part is to determine the vector of differences between the theoretical and the measured trajectories of UAV center of gravity. The paper includes chosen results of experiments obtained during ground and flight tests.

Słowa kluczowe

EN

Unmanned Aerial Vehicle; synthetic aperture radar; inertial measurement unit; Global Navigation Satellite System

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2016
• Tom: Vol. 23, nr 3
• Strony: 383--391
• Opis fizyczny: Bibliogr. 11 poz., rys., wykr., wzory

Twórcy

autor

Łabowski M.

• Military University of Technology, Faculty of Electronics, Kaliskiego 2, 00-908 Warsaw, Poland

autor

Kaniewski P.

• Military University of Technology, Faculty of Electronics, Kaliskiego 2, 00-908 Warsaw, Poland

autor

Konatowski S.

• Military University of Technology, Faculty of Electronics, Kaliskiego 2, 00-908 Warsaw, Poland

Bibliografia

• [1] Mengdao, X., Xiuwei, J., Renbiao, W., Feng, Z., Zheng, B. (2009). Motion Compensation for UAV SAR Based on Raw Radar Data. IEEE Transactions an Geoscience and Remote Sensing, 8, 2870-2883.
• [2] Zaugg, E.C., Long, D.G. (2008). Theory and application of motion compensation for LFM-CW SAR. IEEE Transactions an Geoscience and Remote Sensing, 10, 2990-2998.
• [3] Samczynski, P., Malanowski, M., Gromek, D., Gromek, A., Kulpa, K., Krzonkalla, J., Mordzonek, M., Nowakowski, M. (2014). Effective SAR image creation using low cost INS/GPS. 15th International Radar Symposium, Gdańsk, 174-177.
• [4] Fornaro, G. (1999). Trajectory deviations in Airborne SAR: Analysis and Compensation. IEEE Transactions on Aerospace and Electronics Systems, 3, 997-1009.
• [5] Bekir, E. (2007). Introduction to modern navigation systems. World Scientific Publishing Co. Pre. Ltd., Singapore, 75-84.
• [6] De Angelis, A., Nilsson, J.O., Skog, I., Handel, P., Carbore, P., (2010). Indoor Positioning by Ultrawide Band Radio Aided Inertial Navigation. Metrol. Meas. Syst., 17(3), 447-460.
• [7] Brown, R.G., Hwang, P.Y.C., (1997). Introduction to random signals and applied Kalman filtering. John Wiley & Sons, UK, 141-151.
• [8] Konatowski, S. (2010). The development of nonlinear filtering algorithms. Przeglad Elektrotechniczny, 9, 272-277.
• [9] Śmieszek, M., Dobrzańska, M. (2015). Application of Kalman Filter in Navigation Process of Automated Guided Vehicles. Metrol. Meas. Syst., 22(3), 443-454.
• [10] Li, X., Xie, Y., Bi, D., Ao, Y. (2013). Kalman Filter Based Method for Fault Diagnostics of Analog Circuits. Metrol. Meas. Syst., 20(2), 307-322.
• [11] Titterton, D.H., Weston, J.L. (2004). Strapdown Inertial Navigation Technology. Institution of Electrical Engineers, UK, 17-57.

Uwagi

EN

This project was supported by the National Centre for Research and Development, Poland, within the frame of Applied Research Programme under Research Project PBS/B3/15/2012.

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).