Research and implementation of the Kalman filter in 3D radar target tracking
3 viewsDOI:
https://doi.org/10.54939/1859-1043.j.mst.101.2025.64-71Keywords:
Kalman filter; Altitude estimation; 3D radar; Noise.Abstract
Tracking a moving target in three-dimensional (3D) space using radar requires the processing system to consistently and accurately update the target's position with minimal delay. The Kalman filter, a powerful tool for target tracking, is utilized to estimate the target's state from noisy measurement data. This paper presents the results of evaluating the effectiveness of the Kalman filter in estimating the altitude and tracking 3D radar targets instead of 2D in existing research. The tests are performed on highly mobile moving target models (UAVs, fighter aircraft, etc.). The evaluation criteria include the accuracy of position and velocity estimation, as well as the computational efficiency of the 3D Kalman filter. Finally, a solution for applying the filter to level 2 processing computers in 3D radar systems is proposed.
References
[1]. Richards, Mark A.; Scheer, James A.; Holm, William A. “Principles of Modern Radar: Basic principles”, Radar, Sonar and Navigation, ISBN: 9781891121524, (2010). DOI: https://doi.org/10.1049/SBRA021E
[2]. Wigize, Patrick, “Application of Kalman Filter for Radar Target Tracking.” Journal of Physics. Conference Series, vol. 2471, no. 1, (2023). DOI: https://doi.org/10.1088/1742-6596/2471/1/012002
[3]. S-400 Triumph Air Defence Missile System [online]. February 2020. [viewed 2024-09-09]. Available from: https://www.army-technology.com/projects/s-400-triumph-air-defence-missile-system/
[4]. Skrypnik, Oleg Nicolaevich. “Radio Navigation Systems for Airports and Airways”. Springer, (2019). DOI: https://doi.org/10.1007/978-981-13-7201-8
[5]. Đinh Kim Thuong, “Ra da 3 coordinate 36D6M1”, VN Air and Air Defence Force, (2011).
[6]. Cao Minh Tri, Mac Quoc Khanh, Tran Trong Viet, “A new algorithm for detection of level i marker in signal processing of radar 4 beam 3D,” J. of Military Science and technology, No.75, tr. 43-49, (2021).
[7]. Richards, Mark A. “Fundamentals of Radar Signal Processing”. 2nd ed. New York: McGraw-Hill Education, (2014).
[8]. Alex Becker, “Kalman Filter from the Ground Up,” KilmanFilter.NET, ISBN 9659312016, (2023).
[9]. Welch, G., & Bishop, G. “An Introduction to the Kalman Filter,” University of North Carolina at Chapel Hill, (2006).
[10]. X. Rong Li and V. P. Jilkov, “Survey of maneuvering target tracking. Part I. Dynamic models,” in IEEE Transactions on Aerospace and Electronic Systems, vol. 39, no. 4, pp. 1333-1364, Oct. (2003), DOI: https://doi.org/10.1109/TAES.2003.1261132
[11]. T. Tyack, L. Ferro-Famil and D. Vivet, “Enhanced 3D Radar Target Detection and Tracking Using Extended Kalman Filtering for Ambiguity Resolution,” 2024 International Radar Symposium (IRS), Wroclaw, Poland, pp. 341-346, (2024).
