Appliсation of the phase correlation algorithm and its extension in the optical stabilizer of unmanned aerial vehicles
Abstract
The use of the phase correlation algorithm as the basis of unmanned aerial vehicles (UAV) Optical Stabilizer on purpose to determine the displacement of the housing relative to the surface is described. Also, the possibility of application of the phase correlation algorithm extensions to increase accuracy and reduce computing costs is considered. The algorithm implementation in bot MATLAB language and C is provided. The computational complexity of the algorithm implementation in C was experimentally analyzed in the scope of embedded systems. The proposed algorithm gives not only an auxiliary possibility to stabilize the aircraft position but also to calculate absolute position of the aircraft in space.
Problems in programming 2017; 1: 111-119
Keywords
Full Text:
PDF (Українська)References
Glotov V., Gunina A. Analysis of the literature. Possibilities of for UAVsfor aeropho-tographic processes. Modern achievements of geodetic science and industry. 2014. N 28. P. 65-70.
Pelpor D.S. Gyroscopic orientation and navigation system. Moscow: Mashi-nostroenie, 1982. 165 p.
Seo S.H., Lee B.H., Im S.H., Jee G.I. Effect of Spoofing on Unmanned Aerial Vehicle using Counterfeited GPS Signal. Journal of Positioning, Navigation, and Timing. 2015. N 4. С. 57-65.
https://doi.org/10.11003/JPNT.2015.4.2.057
Dreval O.L., Doroshenko A.Yu. Application of the phase correlation algorithm for use in the UAV stabilization. Visnyk NTUU "KPI" Informatics, operation and computer science. 2017. (not yet released)
Kuglin C.D., Hines D.C.. The phase correlation image alignment method. Proc. Int. Conf. Cybernetics Society. - 1975. - P. 163-165.
Popov V. S. Investigation of the effect of the side windows of the spectrum petals on the error signal processing and transmission [Electronic resource]. Information systems and telecommunications. 2010. Access: windowing-matlab.narod.ru.
Harris F.J. On the use of windows for harmonic analysis with the discrete Fourier transform. Proceedings of the IEEE. 1978. N 66. P. 51-83.
https://doi.org/10.1109/PROC.1978.10837
Harold S.S. A Fast Direct Fourier-Based Algorithm for Subpixel Registration of Images. IEEE Transactions on Geoscience and Remote Sensing. 2001. N 39. P. 10.
https://doi.org/10.1109/36.957286
Rostopchin V.V., Dmitriev M.L. The use of digital optical systems for unmanned aerial vehicles [Electronic resource].
DOI: https://doi.org/10.15407/pp2017.01.111
Refbacks
- There are currently no refbacks.