METHOD FOR AUTOMATIC TRACKING OF A MOBILE TARGET WHEN SMOOTHING IN CARTESIAN COORDINATES TAKING INTO ACCOUNT RADIAL VELOCITY COMPONENT MEASUREMENTS Russian patent published in 2020 - IPC G01S15/00 

Abstract RU 2724115 C1

FIELD: radio electronics.

SUBSTANCE: invention relates to radio electronics and concerns principles of constructing a system for processing hydroacoustic or radar information in part of automatic tracking of a mobile target. In modern information processing systems, the coordinates of the tracked target are smoothed as a rule in a Cartesian coordinate system. Accounting when smoothing results of independent measurements of the rate of change of coordinates, for example radial component of velocity, theoretically enables to reduce tracking errors, especially when a limited number of contacts with a target. However, in practice, this method is not widely used due to its low reliability. According to the proposed method, when calculating the Kalman filter coefficients, variance from cycle to cycle of processing dispersions of both Cartesian coordinates and Cartesian components of radial velocity is taken into account. At that, dispersions of Cartesian components of radial velocity are determined by dispersions of radial velocity and course of tracked target. Since the course estimation accuracy is low, it is proposed to smooth out the calculated course. As follows from the results of statistical modeling, the proposed smoothing method enables reducing smoothing errors by 20–30 % and extrapolation errors in the sustained tracking area (i>10) by 30–40 %. But, what is especially important, the gain in accuracy of tracking with a limited number of contacts with the target (i<10) can reach 1.5–2 times.

EFFECT: disclosed method can be used in receiving paths of active locators of hydroacoustic and radar systems and other information systems, in which automatic tracking of mobile targets is used.

4 cl, 7 dwg

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RU 2 724 115 C1

Authors

Svetlichnaya Alla Aleksandrovna

Svetlichnyj Vasilij Aleksandrovich

Dates

2020-06-22Published

2019-08-06Filed