"JOURNAL OF RADIO ELECTRONICS" (Zhurnal Radioelektroniki ISSN 1684-1719, N 6, 2019

contents of issue      DOI  10.30898/1684-1719.2019.6.3     full text in English (pdf)  

Effective detection of strong maneuvers of object in noisy measurements conditions

 

I. A. Kalinov, R. T. Agishev

Moscow Institute of Physics and Technology (State University), 9 Institutsky Per., Dolgoprudny, Moscow region 141700, Russia

Skolkovo Institute of Science and Technology, Nobel str. 3, Moscow 121205, Russia

 

The paper is received on May 18, 2019

 

Abstract. In this paper coordinate measurements of the object, which trajectory includes strong maneuvers, are used as input data. Strong maneuvers described here as fast turns of the object in sharp angles. Measurement data are very noisy, and standard filtration methods (Kalman filter) dont give satisfactory results. In this paper an improved filtration method that is capable to detect strong maneuvers effectively was implemented. The filtration algorithm was applied to multirotor UAVs tracking task.

Keywords: UAV, DSP, Kalman filter, trajectory analisys.

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For citation:

I. A. Kalinov, R. T. Agishev. Effective detection of strong maneuvers of object in noisy measurements conditions. Zhurnal Radioelektroniki - Journal of Radio Electronics. 2019. No.6. Available at http://jre.cplire.ru/jre/jun19/3/text.pdf

DOI 10.30898/1684-1719.2019.6.3