Smoothing Filter With a Variation of Coefficients for Tracking a Maneuvering Aerodynamic Target
https://doi.org/10.35596/1729-7648-2022-20-1-22-30
Abstract
The article offers a new filter for tracking a maneuvering aerodynamic target. During the process of the filter synthesis, three main requirements were considered: the filter must provide a minimum smoothing error in the areas without maneuver; the filter should ensure the minimum possible errors and emissions of smoothing error during the maneuver; filter must not contain additional constants, which take into account, for example, the value of input errors, parameters of target maneuver, period of information modification and so on. In order to meet these requirements a two-fold adjustment (variation) of the coefficients smoothing was used in accordance with the deviation of the coordinate of the newly measured position of the target (mark) from the extrapolated position. The variation is performed in accordance with the selected function, while the smoothing step acquires a certain conditional value. The proposed filter modelling has been performed. Received by modelling values of smoothing errors were compared with smoothing errors of other filters, described in scientific literature. The comparison results demonstrate a significant decrease in smoothing of the root mean square errors of coordinates and velocity in the proposed filter in comparison with other samples; with according to main requirements, any “tunes” in proposed filter were not used.
About the Author
U. A. AparovichBelarus
Cand. of Sci., Section Chief.
220114, Minsk, Nezavisimosti Ave, 117, tel. +375-29-569-41-49
References
1. Konovalov A.A. [Bases of the trajectorian processing of radar information: in 2 Parts. 2-nd Part]. St.-Petersburg: SPbGATU “LATI”; 2014. (In Russ.)
2. He Yon, Xin Jianjuan, Guan Xin. Radar Data Processing with Applications. Publishing house of Electronic Industry. Singapore; 2016.
3. Blackman S., Popoli R. Design and Analysis of Modern Tracking Systems. Artech House. Boston – London; 1999.
4. Kuzmin S.Z. [Digital Radiolocation]. Kiev: KVIC; 2000. (In Russ.)
5. Bar-Shalom Y., Rong Li X., Thiagalingam Kirubarajan. Estimation with Applications to Tracking and Navigation. John Wiley & Sons, Inc.; 2001.
6. Yang Chun, Blasch Eric. Characteristic Errors of the IMM Algorithm under Three Maneuver Models for an Accelerating Target. 11th International conference of Information Fusion. IEEE, Cologne, Germany; 2008.
7. Baculev P.A., Sichiov M.I., Nguen Chong Liu. [Multi-model algorithm of maneuvering target tracking by information of surveying radar]. Radiotehnika. 2004;1:26-32. (In Russ.)
8. Khmarski P.A., Solonar A.S. [Features of adaptive extended Kalman filter implementations]. Doklady BGUIR = Doklady BGUIR. 2012;8(70):57-63. (In Russ.)
9. Kuzmin S.Z. [Bases of theory of radar information digital processing]. Moscow: Sovetskoe radio; 1974. (In Russ.)
10. Aparovich V.A. [Un-precise and un-discrete filter of table smoothing of coordinates]. Radiotehnika. 1997;3:43-45. (In Russ.)
Review
For citations:
Aparovich U.A. Smoothing Filter With a Variation of Coefficients for Tracking a Maneuvering Aerodynamic Target. Doklady BGUIR. 2022;20(1):22-30. (In Russ.) https://doi.org/10.35596/1729-7648-2022-20-1-22-30