Abstract
Using the model of multipath propagation of radio waves and the method of unscented Kalman filtering, a nonlinear adaptive algorithm for tracking low-flying targets in a monopulse radar station has been developed. This algorithm, in contrast to the extended Kalman filter, makes it possible to compensate for significant autocorrelated interference in measurements of the elevation angle of low-flying targets, arising from reflections of radio waves from the underlying surface. The results of simulation of the proposed algorithm are presented.
Similar content being viewed by others
REFERENCES
A. I. Leonov and K. I. Fomichev, Monopulse Radar (Radio i Svyaz’, Moscow, 1984) [in Russian].
S. M. Sherman and B. K. Barton, Monopulse Principles and Techniques (Artech House, London, 2011).
Y. Bar-Shalom, A. Kumar, W. D. Blair, and G. W. Groves, IEEE Trans. Aerosp. Electron. Syst. 30, 973 (1994).
Y. Bar-Shalom and X.-R. Li, Multitarget-Multisensor Tracking: Principles and Techniques. Storrs, CT: YBS Publishing, 1995.
A. Farina and Flavio A. Studer, Radar Data Processing RSP/Wiley, 1985.
S. J. Julier and J. K. Uhlmann, Proc. IEEE 92, 401 (2004).
E. A. Wan and R. van der Merwe, The Unscented Kalman Filter. Ch. 7: Kalman Filtering and Neural Networks, Ed. by S. Haykin (Wiley, New York, 2001), p. 221.
A. N. Grachev, A. A. Fomichev, and S. V. Shurygin, Sist. Upravl. & Inform. Tekhnol., No. 1, 4 (2009) [in Russian].
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Grachev, A.N., Kurbatsky, S.A. & Khomyakov, A.V. Algorithm of Low-Flying Target Tracking in Monopulse Radar Stations Based on a Unscented Kalman Filter. J. Commun. Technol. Electron. 66, 149–154 (2021). https://doi.org/10.1134/S1064226921020054
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1064226921020054