双智能反射面辅助的感知通信一体化波束赋形与相移优化OA北大核心CSTPCD

The problem that the direct links between the base station and some communication users or potential targets are very weak can be solved efficiently by deploying the intelligent reflecting surface(IRS).However,the coverage of single IRS is limited,and thus a double IRS-assisted integrated sensing and communication(ISAC)system is investigated.In order to reduce the channel training overhead,statistical channel state information is used.The problem of maximizing the beampattern gain by jointly optimizing the beamforming at the base station and the phase shift at the IRSs subject to the minimum ergodic capacity requirements of communication users is established.The problem is transformed into three subproblems to decouple beamforming and phase shifts of double IRSs,and then the semi-definite relaxation based alternating optimization algorithm is proposed to solve the problem.Over twice the beampattern gain is obtained by deploying double IRSs compared with single IRS scenario.