基于QPSO的智能天线声阵列自适应波束形成算法模型研究  

Research on the algorithm model of smart antenna sound array adaptive beam forming based on QPSO

作　　者：赵平[1] 刘杰[1] 马永欢[1] 姚鸿飞[1] 

机构地区：[1]西北工业大学电子信息学院,陕西西安710129

出　　处：《郑州轻工业学院学报（自然科学版）》2015年第5期124-128,共5页Journal of Zhengzhou University of Light Industry:Natural Science

基　　金：国家自然科学基金项目(61271279;61201157)

摘　　要：提出了一种基于量子粒子群算法(QPSO)的智能天线声阵列自适应波束形成算法模型,该模型应用QPSO对阵列天线半径和阵元初始相位进行调整,进而控制智能天线声阵列的波束形成,使天线波束主瓣对准期望声源信号方向,零陷对准干扰信号方向,并形成最优的增益主瓣和旁瓣的峰峰比.Matlab仿真结果表明,该模型增强主瓣方向增益约10 d B,降低噪声方向增益约3.75 d B,有效提升了系统通信能力和抗干扰能力,并且在扫描角度上呈现普适性.The smart antenna sound array adaptive beamforming algorithm model based on quantum particle swarm optimization（ QPSO） algorithm was presented,which applied QPSO to adjust array antenna radius and the initial phase of array element,and then controlled the forming of the sound smart antenna array beam,so that the main lobe of the antenna beam aligned direction desired sound source signals,nulling alignment direction to interference signal,and forming the optimal gain main lobe and side lobes peak ratio.Matlab simulation results showed that the model could enhance the direction of the main lobe gain by about10 d B,reducing noise directional gain by about 3. 75 d B,effectively increasing the system communication capability and anti-jamming capability,and presented a universal scanning angle.

关 键 词：智能天线 声阵列 自适应波束形成 量子粒子群算法 主瓣增益 

分 类 号：TN99[电子电信—信号与信息处理]