Uplink communication security method for mobile air eavesdropper based on perception

Abstract

The invention discloses a perception-based uplink communication security method for a mobile air eavesdropper, and belongs to the field of communication physical layer security and radar interference suppression. Aiming at the characteristics of flexible deployment and high maneuverability of a mobile air eavesdropper, a communication and perception integrated model is established, an iterative optimization radar signal and a receiving beam former are jointly designed, and tradeoff optimization is performed between interference AE and user communication; under the condition that communication between a base station BS and a user is guaranteed, an extended Kalman filtering method is used for predicting the trajectory of a mobile AE and channel state information CSI between the base station and the AE, accurate AE tracking is achieved, the accurate CSI between the base station and the AE is obtained in real time, the interference capacity of radar signals on the AE is further enhanced, and the confidentiality of reliable communication is improved; based on an alternating optimization algorithm, optimization of radar signals is converted into a series of positive semi-definite programming (SDP) problems through a continuous convex approximation (SCA) technology, the radar signals and receiving beams are jointly designed, and the communication secrecy capability is further improved.

Description

technical field [0001] The invention relates to a perception-based uplink communication security method for mobile air eavesdroppers, belonging to the field of communication physical layer security and radar interference suppression. Background technique [0002] Unmanned aerial vehicle (UAV) has the advantages of good communication link, flexible deployment and high mobility, and has been widely used in public applications such as patrol and surveillance, search and rescue. However, due to the inherent open nature of wireless communications, drones are also increasing threats to information security and privacy, such as drones that can be deployed as aerial eavesdroppers (AEs). To solve this problem, physical layer security (PLS) technology can be adopted, which utilizes the difference in channel state information (CSI) between the legitimate link and the ongoing link to enhance confidentiality, thereby enabling information transmission for AE Safety. [0003] One of the ...

AI Technical Summary

Problems solved by technology

However, none of the existing research methods considered the tracking of moving AEs

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