摘要
针对雷达-通信综合射频系统,该文提出一种基于环境信息的共享孔径动态分配方法。首先基于帕累托最优理论将共享孔径分配建模为一个多目标优化问题,并建立了雷达阵列方向图的峰值旁瓣电平和多输入多输出(MIMO)通信系统的信道容量两个优化目标函数。然后提出一种基于整数编码的改进粒子群算法,通过迭代求解以帕累托前沿的形式给出一组最优解,供决策者根据任务需求从中选出一个最满意的解。最后,仿真结果验证了该方法的有效性。
In this work, considering a radar-communication integrated radio frequency system, a dynamic allocation method of shared aperture using relevant environmental information is proposed. Firstly, the shared aperture allocation task is formulated as a Multi-Objective Optimization （MOO） problem based on Pareto optimality, which uses the peak side-lobe level of radar array pattern and the channel capacity of Multiple Input Multiple Output （MIMO） communication system as its objective function. Then, an improved particle swarm optimization algorithm based on integer encoding is proposed to solve the MOO problem. The iterative algorithm can find out a set of optimal solutions in the form of Pareto front, one of which can be chosen by decision makers as the most satisfactory solution according to mission requirements. Finally, the simulation results verify the effectiveness of the proposed method.
出处
《电子与信息学报》
EI
CSCD
北大核心
2016年第9期2351-2357,共7页
Journal of Electronics & Information Technology
基金
国家自然科学基金(61571260)~~
关键词
共享孔径
综合射频系统
多目标优化
粒子群算法
帕累托最优
Shared aperture
Integrated radio frequency system
Multi-objective optimization
Particle swarmoptimization
Pareto optimality
