Unmanned aerial vehicle rotor detection system based on millimeter wave radar and detection method thereof

Abstract

The invention provides an unmanned aerial vehicle rotor detection system based on a millimeter wave radar and a detection method thereof. The unmanned aerial vehicle rotor detection system design method combines LFMCW radar distance Doppler processing, peak detection and distance-entropy detection, and comprises: performing multi-target detection and information extraction on scattered echo signals to obtain two-dimensional plane energy distribution of distance information and Doppler information of an unmanned aerial vehicle; and acquiring a distance region with an unmanned aerial vehicle target through a peak value detection method, sequentially calculating the amplitude distribution entropy of each distance unit, carrying out peak value detection on a distance-entropy curve, synthesizing the detection results of an RD image and the distance-entropy curve, and finally realizing the detection of the unmanned aerial vehicle rotor region. According to the invention, the unmanned aerial vehicle can be distinguished from other targets, and distance units with rotors in the distance range where the unmanned aerial vehicle is located can be distinguished from other distance units, so that rotor position detection is further achieved while unmanned aerial vehicle position detection is achieved.

Description

technical field [0001] The invention is a millimeter-wave radar-based UAV rotor detection system and its detection method. According to the regional distribution characteristics of echo signals and combined with peak detection processing, the accurate detection of UAV rotor components is realized, which belongs to digital signal processing field. Background technique [0002] Micro-movement refers to the small movements such as vibration and rotation of the target itself or its components, which can reflect the detailed characteristics of the target motion and provide a new way for target recognition. With the continuous development of radar technology, technologies such as radar target micro-motion measurement, feature extraction and recognition based on the micro-Doppler effect have received extensive attention. [0003] In recent years, UAV application technology has developed rapidly, especially various types of rotor UAVs have widely entered the civilian field. While ...

AI Technical Summary

Problems solved by technology

However, the high-speed rotation of the rotor will cause a wide range of Doppler sidebands in the target echo of the UAV. Therefore, the concentration of the energy distribution is greatly reduced, which seriously affects the accuracy of noise estimation, resulting in a decrease in the detection rate.

At present, the analysis of the micro-motion characteristics of UAVs takes the UAV as a whole as the analysis object. During the analysis process, the micro-motion signals of each rotor are mixed together, and it is difficult to separate each rotor for independent analysis.

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