Air traffic control monitoring response signal feature extraction method and device, equipment and storage medium

[0063] For secondary radar and ADS-B response signals, the current method is to demodulate the radio frequency signal, then decode the baseband signal, and analyze the relevant information for air traffic control services. Facing the increasingly complex electromagnetic environment, the shortcomings and deficiencies of the current processing methods are gradually highlighted, including: low utilization rate of signal data: when the secondary radar response signal or ADS-B signal encounters synchronous or asynchronous interweaving interference, the secondary radar The increase in the probability of decoding errors leads to invalid data, and the probability that the ADS-B response signal fails to pass the verification increases. The above results will cause the response signal to be discarded and the data utilization rate to decrease. False targets increase: Due to the existence of interference and deceptive targets, secondary radar signals or ADS-B signals can be simulated by means

[0095] refer to Figure 6 , as attached Figure 6 Shown is the matching method of the unknown air traffic control monitoring response signal provided in this embodiment. The method uses the feature extraction method of the air traffic control monitoring response signal provided in the previous embodiment to establish a feature database.

[0096] This method receives the unknown target signal through the communication receiver and performs preprocessing. The preprocessing method is the same as the feature extraction method of the air traffic control monitoring response signal provided in the previous embodiment, and then the unknown target signal is extracted using the same time-frequency transformation method and feature extraction method. The in-depth signal-level features of the system are designed to match the features of the feature signals in the feature database to complete the identification of the answering device.

[0097] The matching method of the unknown air traffic

[0099] refer to Figure 6 , as attached Figure 6 Shown is a structural block diagram of an air traffic control monitoring response signal feature extraction device provided in this embodiment, and the device includes:

[0100] The signal preprocessing module is used to obtain the A / C mode response signal and the S mode response signal, perform signal preprocessing on the A / C mode response signal and the S mode response signal, and obtain the response signal set with the A mode code label and the Set of response signals with Mode S code label;

[0101] The time-frequency transformation module is used to perform self-Wigner distribution and take the absolute value for all signals in the response signal set with the A-mode code label and the response signal set with the S-mode code label, and obtain the matrix used as the feature extraction input ;

[0102] The feature extraction module is used to calculate the Fisher discriminant ratio of the matrix used as the feature extr