Flight path tracking device and radar

Abstract

The invention provides a flight path tracking device and radar, and relates to the unmanned plane defense technical field; the flight path tracking device and radar comprises a position gatherer, a recursive filter and a controller; the position gatherer obtains the first unmanned plane position information and a first matching state between a radar plot and the flight path, sends the first unmanned plane position information to the recursive filter, and sends the first matching state to the controller; the recursive filter carries out burr filtering for the first unmanned plane position information so as to obtain the first filter information, and sends the first filter information to the controller; the controller predicts the second unmanned plane position information according to the first filter information, adjusts the first matching state so as to obtain a second matching state, and fuses the second unmanned plane position information with the second matching state, thus obtaining the third unmanned plane position information, reducing orientation fluctuations, and accurately measuring the unmanned plane azimuth angles without being affected by different filtering coefficients.

Description

technical field [0001] The invention relates to the technical field of drone defense, in particular to a flight track tracking device and a radar. Background technique [0002] The UAV detection radar is a pulsed phased array system radar, which uses the electric scanning method to quickly scan the intruding UAV within a radius of 1km and a sector of 90°, providing preparation for the UAV jamming system or capture system location information. [0003] At present, since the UAV is a low-slow and small target, the signal-to-noise ratio of its radar echo is usually relatively small, and the azimuth angle of the UAV measured by the ratio-amplitude angle measurement technology has relatively large fluctuations, which is not conducive to the position information of the UAV. accurate reporting. Although the traditional recursive filter can play the role of glitch filtering, the filtering result will gradually deviate from the real value due to the hysteresis genetic effect, and t...

AI Technical Summary

Problems solved by technology

[0003]At present, since UAVs are slow and small targets, the signal-to-noise ratio of their radar echoes is usually relatively small. The fluctuation of the azimuth angle of the drone is relatively large, which is not conducive to the accurate reporting of the position information of the drone

Although the traditional recursive filter can play the role of glitch filtering, the filtering result will gradually deviate from the real value due to the hysteresis genetic effect, and the deviation procedure of different filter coefficients is different.

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