SINR maximization method for IRS-assisted dual-function radar communication system

Abstract

The invention discloses an SINR maximization method for an IRS-assisted dual-function radar communication system, and the method achieves the maximization of the SINR of an MIMO radar through the joint transmission beam forming and phase shift optimization technology under the condition of considering the existence of an eavesdropping target in an intelligent reflection surface (IRS)-assisted multiple-input-multiple-output (MIMO) radar. According to the method, an IRS-assisted dual-function radar communication (IDFRC) system considering a physical layer security (PLS) technology is established, a transmitting beam former, an artificial noise vector and the phase shift of an IRS are jointly optimized to maximize the SINR of an MIMO radar, and in order to solve the optimization problem non-convexity caused by the non-concavity of a security rate function, a block coordinate descent (BCD) algorithm is used to alternately update the transmit power and the phase shift of the IRS. Specifically, a controlled minimization (MM) algorithm is utilized to optimize a phase shift at a given transmit power, a first-order Taylor expansion is utilized to convert a problem into a convex optimization problem, and two transmit beamforming vectors are designed to detect a target and securely transmit information to a legal receiver. The method has the advantages that the complexity is low, the signal to interference plus noise ratio of the radar is remarkably improved, and the feasibility and the practicability are high.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to an SINR maximization method of an IRS-assisted dual-function radar communication system. Background technique [0002] As an emerging technology, Multiple-Input Multiple-Output (MIMO) radar has drawn much attention from researchers because of its advantages in improving parameter identifiability, adaptive arrays for target detection, and improved There are advantages in aspects such as the flexibility of the launch mode design. Specifically, E. Fishler et al. proposed a MIMO radar with widely spaced cells to improve the performance of target direction finding accuracy. J.Li and P.Stoica demonstrated that MIMO radar can achieve excellent anti-jamming capability and large-scale object detection. In addition, A.M.Haimovich et al. reviewed the various applications of MIMO radar, such as obtaining diversity gain to overcome the fading of target radar cross section (RC...

AI Technical Summary

Problems solved by technology

Z.M.Jiang et al. introduced IRS into the DFRC system to maximize the SNR of the radar receiver, however, did not consider the physical layer security (PLS)

Images