摘要
采用基于智能算法优化发射信号互相关矩阵的方法来形成所期望的发射天线方向图,实现多输入多输出(multiple-input multiple-output,MIMO)雷达发射波束控制。根据MIMO雷达数学模型构建了适合智能优化的代价函数,提出群交叉变异多相粒子群算法(swarm exchange and aberrance multiple-phase particle swarm op-timization,SEA-MPPSO),并将其应用于MIMO雷达发射信号互相关性的优化,实现了发射波束赋形。方法快速高效,能最大程度地逼近全局最优解。计算机仿真结果证明了方法的可行性和有效性。
A method of realizing transmitted beamforming by designing the cross correlation matrix of transmitting signals to establish a desired beam pattern is studied,which implements control of transmitting beam of the multiple-input multiple-output（MIMO） radar.According to the mathematical model of the MIMO radar,a cost function suitable for intelligence optimization is constructed.A new algorithm called swarm exchange and aberrance multiple-phase particle swarm optimization is proposed,which is good at optimizing the correlation of the MIMO radar transmitting signal,and many desired patterns of the transmitted beam are acquired.The presented method can converge quickly and approach to the global best solution farthest.The computer simulation results testify the validity of the method.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2010年第8期1613-1617,共5页
Systems Engineering and Electronics
基金
国家自然科学基金(60601016)资助课题
关键词
发射波束形成
群交叉变异
互相关矩阵
多相粒子群
MIMO雷达
transmitted beamforming
swarm exchange and aberrance cross
correlation matrix
multiple-phase particle swarm optimization（MPPSO）
multiple-input multiple-output（MIMO） radar
