Method for acquiring RCS (radar cross section) characteristics of unmanned aerial vehicle by adopting controllable step frequency pulse signals

Abstract

The invention belongs to the field of radar target cross section (RCS) measurement and processing, and provides a method for acquiring the RCS characteristics of an unmanned aerial vehicle by adopting a controllable step frequency pulse signal, and the method comprises the steps: 1, setting the emission parameters of coherent step frequency signals according to the parameters of the unmanned aerial vehicle, the flight state and the test background; step 2, generating a step frequency signal by using a direct digital frequency synthesizer DDS and a phase-locked loop PLL; step 3, based on a background cancellation and calibration processing method, processing the acquired data to obtain a one-dimensional range profile of the target to be measured; and step 4, processing the data after background cancellation and calibration by using a one-dimensional image inversion method to obtain each frequency point RCS of the target to be measured. According to the method and the system, in the processing process of obtaining the RCS of the unmanned aerial vehicle, the background clutter interference resistance is high, and the accuracy of the obtained RCS value is high.

Description

technical field [0001] The invention relates to the field of radar target cross-sectional area RCS measurement and processing, in particular to a method for obtaining the RCS characteristics of an unmanned aerial vehicle by adopting a controllable step-frequency pulse signal. Background technique [0002] Due to the small target of the UAV, it is difficult to accurately obtain the RCS characteristics of its radar target cross-sectional area. Traditional monopulse radar is difficult to take into account high power and high resolution at the same time. In order to solve the above problems, a coherent accumulation step frequency (SF) test system is used. [0003] In order to obtain the real RCS value of the UAV, on the one hand, the target needs to be calibrated. The selection of the calibration body can choose the calibration sphere or the inverse trihedral angle, but the calibration sphere is an isotropic calibration body, so the same set of calibration data can be used when...

AI Technical Summary

Problems solved by technology

[0002] Due to the small size of the UAV target, it is difficult to accurately obtain the RCS characteristics of its radar target cross-section

It is difficult for traditional monopulse radar to take into account high power and high resolution at the same time. In order to solve the above problems, a coherent accumulation step frequency (SF) test system is adopted.

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