A UAV Data Link Design Method Based on Random Modulation Hopping

Abstract

The invention discloses an unmanned aerial vehicle data link design method based on random modulation hopping, which belongs to the field of unmanned aerial vehicle measurement and control communication. Firstly, a random sequence generator simultaneously supporting true and false random sequences is used for generating a certain random sequence and transmitting the random sequence to a modulationmode selection controller; and then the modulation mode selection controller outputs a modulation mode corresponding to the random sequence and selects a corresponding modulation module. A data flowgenerator inputs data to be sent to the modulation module, and modulation signals are sent out through the transmitting antenna. And finally, a modulation signal received by the receiving antenna is input into the modulation identification module to automatically identify a modulation mode after being processed by the synchronization system, and the demodulation selection controller selects a corresponding demodulation module according to the modulation mode, demodulates original information and transmits the original information to the data stream receiver to finish information decoding and decryption processing. The architecture provided by the invention is flexible in design, avoids the problem of dependence on priori knowledge of signals, and can be applied to various communication scenes.

Description

technical field [0001] The invention belongs to the field of unmanned aerial vehicle measurement and control communication, and specifically refers to a design method of an unmanned aerial vehicle data link based on random modulation jump. Background technique [0002] At present, UAVs are widely used in military operations to perform tasks such as reconnaissance, strike and damage assessment, but the electromagnetic environment on the battlefield is becoming more and more complex, especially the interception and deception technologies for UAV data links continue to emerge, which reduces the The reliability and security of the man-machine system, so it is becoming more and more important to improve the anti-interception capability of the data link. Classic data link anti-interception techniques include time hopping and frequency hopping, etc. These techniques can be regarded as time-shift keying or frequency-shift keying methods, which make it difficult to capture the signal...

AI Technical Summary

Problems solved by technology

At first, the researchers directly used the in-phase component (In-phase, I-way) and quadrature component (Quadrature, Q-way) of the received signal as the input of the convolutional neural network (CNN), but only the AMR composed of CNN The network can only process fixed-length signal sequences, which limits the application of neural network models

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