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ALGORITHM USING THE KALMAN FILTER FOR IDENTIFICATION OF RADAR SYSTEMATIC ERRORS IN AZIMUTH MEASUREMENTS

**D.A. Bedin**

Institute of Mathematics and Mechanics, Ural Branch of RAS,

6202990, Russia, Ekaterinburg GSP-384, S.Kovalevskaya str., 16

Tel. +7 (343) 3753444, Fax +7 (343) 3742581

**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.

### English text in PDF-format

bedin45eng.pdf (1665 KB)

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Bedin D.A.
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**Algorithm Using the Kalman Filter for Identification of Radar Systematic Errors in Azimuth Measurements**
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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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