基于流向算法的协同雷达-NOMA通信系统布站优化

Location Optimization of Cooperative Radar-NOMA Communication System Based on Flow Direction Algorithm

研究了协同雷达通信系统的布站优化问题,通信系统搭载在无人机(Unmanned Aerial Vehicle,UAV)上,采用非正交多址接入(Non-Orthogonal Multiple Access,NOMA)技术服务多个地面用户,雷达系统为多基地雷达,其多个接收机和发射机分置,雷达系统和通信系统存在部分频谱重叠共享。建立了UAV通信系统发射机和雷达接收机的联合布站优化模型,目标是在通信传输速率约束下,实现通信系统平均传输能耗最小化、通信发射机-雷达接收机信道的信噪比最大化以及雷达定位几何精度因子(Geometric Dilution of Precision,GDOP)最小化。引入流向算法(Flow Direction Algorithm,FDA)进行最优化求解,仿真结果表明,相对于通信系统未采用NOMA技术时,所提出的布站优化方案平均传输能耗更低,且FDA较其他常用智能优化算法的精度和寻优效率更高。

The location optimization problem of a collaborative radar communication system is studied,where the communication system is mounted on an Unmanned Aerial Vehicle(UAV)and Non-Orthogonal Multiple Access(NOMA)technology is adopted to serve multiple ground users.The radar system is a multistatic radar with multiple receivers and transmitters separated.There is partial spectrum overlap and sharing between the radar system and the communication system.A joint location optimization model for UAV communication system transmitters and radar receivers has been established,to jointly minimize the average transmission energy consumption of the communication system,maximize the signal-to-noise ratio of the communication transmitter radar receiver channel,and minimize the Geometric Dilution of Precision(GDOP)of radar positioning with communication transmission rate constraints.By introducing the Flow Direction Algorithm(FDA)to solve optimization solution,the simulation results show that the average transmission energy consumption of the proposed location optimization scheme is lower compared to the communication system without NOMA technology.Meantime,the accuracy and optimization efficiency of FDA are better than those of other commonly used intelligent optimization algorithms.