Institute of Mathematics and Mechanics, Ural Branch of RAS,
6202990, Russia, Ekaterinburg GSP-384, S.Kovalevskaya str., 16
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Keywords: radar measurements, systematic error, Kalman filter.
A problem which has to be solved in air traffic control of civil aircrafts is considered. For a system of several observing radars, it is necessary to identify the systematic azimuth errors in measurements of each radar. Such an error leads to a shift in the observed track of the aircraft. A mathematical formulation of the problem is suggested as a problem of estimation of a random vector on the basis of a nonlinear equation of observation. An analytical solution is presented as a law of posterior distribution. The analytical solution is difficult to implement in practice because of its complexity. As a result, a simplified solution is introduced that uses computational formulas on the basis of the Kalman filtering. The algorithm of simplified solution has been tested on model and real radar data.
bedin45eng.pdf (1665 KB)
Bedin D.A. Algorithm Using the Kalman Filter for Identification of Radar Systematic Errors in Azimuth Measurements // Proceedings of the 18th Saint Petersburg International Conference on Integrated Navigation Systems. / Editor Vladimir G. Peshekhonov. – SPb.: State Research Center of the Russian Federation – Concern Central Scientific and Research Institute Elektropribor, JSC, 2011. P. 230–232.
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