Airport runway foreign object detection method and detection system

Abstract

The invention discloses a method and system for detecting foreign matter on an airport runway, which uses radar to continuously transmit signals, and irradiates the signal transmitted by the radar to the scanning area of ​​the airport runway; receives the signal reflected by the airport runway due to the transmitted signal of the radar, and obtains the return wave signal; the obtained echo signal is mixed with the transmitted signal of the radar to obtain a mixed intermediate frequency signal; the obtained intermediate frequency signal is subjected to range-to-Fourier transform, and the transformed signal is subjected to distance Frequency domain error compensation to obtain the corresponding distance frequency domain signal; carry out azimuth Fourier transform for the obtained distance frequency domain signal, and use the principle of synthetic aperture radar to perform azimuth matching filtering and inverse transform processing on the processed signal, Obtain the corresponding radar image; identify whether there are foreign objects on the airport runway according to the obtained radar image; improve the FOD detection system's ability to detect weak targets on the runway.

Description

technical field [0001] The invention relates to the field of radar detection, in particular to a method and system for detecting foreign objects on airport runways based on SAR imaging technology. Background technique [0002] Airport runway foreign object detection (Foreign Object Debris, FOD) refers to the detection of foreign objects at the airport; among them, the airport foreign objects can be understood as: on the runway, taxiway, apron ground may damage aircraft, equipment or threaten airport work Foreign objects for the safety of personnel and passengers. Therefore, for busy civil airports, the demand for FOD real-time monitoring is very urgent. [0003] The existing FOD real-time monitoring methods mainly use radar detection or video detection, but both radar detection and video detection have certain defects and cannot meet the basic FOD monitoring needs. According to the civil aviation FAA standard, the minimum detection object RCS is required to be -28dBsm, so ...

AI Technical Summary

Problems solved by technology

[0003] The existing FOD real-time monitoring methods mainly use radar detection or video detection, but both radar detection and video detection have certain defects, which cannot meet the basic FOD monitoring needs.

According to the civil aviation FAA standard, the minimum detection object RCS is required to be -28dBsm, so radar detection may easily miss objects with low reflectivity, and surface clutter may easily cause false alarms

Existing FOD radars use the echo signal and the transmitted signal to mix to obtain the difference frequency signal, and realize pulse compression through FFT changes. This method only uses the echo signal of a single target for target detection, so it is easy to cause weak target loss

The advantage of video detection is that the technology is relatively mature, the cost is relatively low, and it has a good detection ability for objects that are quite different from the appearance of the runway; but the main problem of video detection is the complexity of the details of the appearance of the runway and the diversity of FOD objects. Therefore, the detection method based on changes in the appearance of the target is prone to false alarms; at the same time, the optical instrument itself is also easily affected by the climate and lighting environment

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