An Efficient Identification Method for Flight Control Signals of Low, Small and Slow UAVs

Abstract

The invention discloses an efficient identification method for low, small and slow UAV flight control signals, comprising the following steps: step 1, preliminary detection of flight control link signals; step 2, extraction of key features, and construction of a target feature database; Step 3, perform feature fusion and optimization; Step 4, analyze the signal according to the new features after fusion and optimization, obtain the signal type, frame format and key fields, and store the analysis results in the target feature database; Step 5, adopt the method based on The learning algorithm of the neural network realizes the accurate classification and recognition of the target, and obtains the correct recognition result. The present invention can solve the problem of identifying the flight control signals of low, small and slow UAVs, realize the identification and control of specific airspaces, and achieve efficient early warning and defense against illegal intrusion into various low, small and slow UAVs in classified and sensitive airspaces Effect: It has a high correct recognition rate, reduces the calculation amount, improves the processing efficiency, and has strong applicability.

Description

technical field [0001] The invention relates to an efficient identification method for flight control signals of low, small and slow unmanned aerial vehicles. Background technique [0002] Low, small and slow drones usually refer to aerial drone targets with a flying altitude of less than 1,000 meters, a speed of less than 300 kilometers per hour, and a radar reflection area of ​​less than 2 square meters. Low, small and slow UAVs are small in size, light in weight, easy to carry, and easy to operate. Various small devices, such as navigation equipment, communication equipment, and infrared camera equipment, can be added to the fuselage to expand its functions and accomplish multiple tasks. kind of task. At the same time, due to the relatively low technical threshold and cost of low, small and slow UAVs, many companies at home and abroad are researching and producing this type of UAVs, and they have been widely used in the civilian and military markets. [0003] The identi...

AI Technical Summary

Problems solved by technology

However, there is currently no method for identifying low, small and slow UAVs based on the characteristics of the flight control signal.

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