The Research Of Physical-layer Security Communication Signal Synthesis Algorithm Basing Directional-modulation

With the rapid development of wireless communication technology,wireless communication technology has wide application in more and more industry.As the characteristic of openness of the wireless transmission,information security has gradually become the focus of hot spots.Traditional security scheme based on the upper encryption technology is facing the challenge of quantum computing,cloud computing technology.In recent years the use of the characteristics of the wireless communication system to realize wireless communication information transmission in the physical-layer security received extensive attention of scholars.Direction modulation(DM)is to use the antenna spatial modulation ability to achieve more communications information in the wireless communication system at the physical-layer security.Direction modulation signal synthesis algorithm based on phased array is a constraint of single objective optimization problem meet different communication application scenario performance requirements,such as safety,the transmitter power efficiency,radiation pattern,etc.In this paper,a semi-analytical and semi-numerical directional modulation signal synthesis algorithm based on adaptive iterative Fourier transform(IFT)is proposed for DM transmitter.The Iteration(analytical method)drive the radiation pattern function to approximate the desired objective function repeatedly(numerical method).But the semi-analytical and semi-numerical method can't achieve the optimal solution under the condition of certain communication performance.Aiming at these problems this paper put forward a direction modulation signal synthesis algorithm based on convex optimization to solve design problems of direction modulation transmitter at different communication scenarios by turning direction modulation key parameters into norm problems.Simulation results show that the proposed algorithm can achieve better performance compared with the benchmark problems.