Object recognition method for radar system

Abstract

The invention provides an object identification method for a radar system, and the method comprises the steps: S1, carrying out the up-conversion of an initial signal generated by the radar system, and obtaining a frequency mixing signal; s2, suppressing out-of-band stray of the frequency mixing signal to obtain a transmitting signal, and transmitting the transmitting signal to an object to be detected; s3, acquiring an echo signal returned to the object to be detected, filtering the echo signal, and extracting Doppler information in the filtered echo signal to obtain a final signal; and S4, judging the signal curve and frequency of the final signal, and determining whether the to-be-detected object is an aircraft object or a non-aircraft object. The method can distinguish whether the to-be-detected object is an aircraft object or a non-aircraft object, and compared with a traditional radar positioning mode, the method not only can recognize a large aircraft, but also can detect and recognize small aviation days such as an unmanned aerial vehicle, can distinguish small flyers and natural organisms such as birds, and makes up for the shortages of radar for small aircrafts.

Description

technical field [0001] The present disclosure relates to the technical field of radar systems, and in particular, to an object recognition method for a radar system. Background technique [0002] With the rapid development of science and technology in recent years, the unmanned aerial vehicle industry is undergoing an era of change with the joint promotion of the entire industry. The advantages of "low, small and slow" aircraft also provide great convenience for criminals to conduct illegal and criminal activities. As the most important detection method, radar, the detection and research of drones has reached an imminent and critical juncture. [0003] The conventional radar detection method is to identify the overall distance and direction of the target. The resolution rate is low, and the output image is a point value. When targeting small aircraft, it is impossible to distinguish birds and aircraft, resulting in omissions, false alarms and other problems. [0004] There ...

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Problems solved by technology

[0003] The conventional radar detection method is to identify the overall distance and direction of the target, the resolution is low, and the output image is a point value. When targeting small aircraft, it is impossible to distinguish between birds and aircraft, resulting in omissions, false alarms, etc.

[0004] There are still many deficiencies in the current radar system. For example, the current radar system is mainly aimed at large aircraft, identifying and tracking the overall movement trend of the aircraft, and has weak detection and recognition capabilities for small aerospace such as drones. , it is impossible to distinguish natural organisms such as birds; at the same time, most of the current radar systems have the problem of poor accuracy and large errors, and cannot target small spacecraft

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