A UAV detection method in clutter environment based on cepstrum analysis

A detection method and unmanned aerial vehicle technology, applied in the direction of radio wave measurement systems, instruments, etc., can solve the problems of low accuracy, achieve the effect of reducing false alarms, reducing noise variance, and simple calculation
CN111398909BActive Publication Date: 2022-01-21HARBIN INST OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HARBIN INST OF TECH
Publication Date
2022-01-21

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Abstract

A method for detecting drones in clutter environments based on cepstrum analysis, relating to the technical field of radar target detection, aiming at the problem of low accuracy when detecting hovering drones in clutter environments in the prior art, including step 1: Obtain the original echo data, and then perform pulse compression on the original echo data to obtain the pulse pressure data s 0 (r, n), where r represents the range unit number, n represents the pulse number, and perform Doppler processing on N pulses to obtain the RD spectrum s 1 (r, d), d represents the Doppler unit number, in the RD spectrum s 1 On (r, d), the unit average constant false alarm detection is carried out, and the preliminary detection result is obtained, that is, the point track of the potential target, and the distance unit is R bin ; Step 2: Use cepstrum analysis to screen the preliminary detection results, identify whether it is clutter or target, and then eliminate clutter. Distinguishing clutter and targets in the detection stage can effectively detect hovering UAVs in a clutter environment with high accuracy.
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Description

technical field

[0001] The invention relates to the technical field of radar target detection, in particular to a cepstrum analysis-based method for detecting an unmanned aerial vehicle in a clutter environment. Background technique

[0002] In recent years, with the improvement of the performance of control chips and the maturity of related control algorithms, small multi-rotor drones have become increasingly mature and popular, and they are widely used in various fields of production and life. However, the hidden dangers brought by drones cannot be ignored. The "black flying" drones threaten civil aviation, large gatherings, national security and personal privacy. UAVs are low, small, and slow targets. In cities, there are dense buildings, complex environments, and a lot of clutter and interference, which brings difficulties to detection, especially when UAVs are hovering, it is difficult to distinguish them from fixed clutter. If a large number of false alarms are genera...

Claims

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