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CN 41-1437/TS  ISSN 2096-1553

基于QPSO的智能天线声阵列自适应波束形成算法模型研究

赵平 ,  刘杰 ,  马永欢 ,  姚鸿飞

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赵平, 刘杰, 马永欢, 等. 基于QPSO的智能天线声阵列自适应波束形成算法模型研究[J]. 轻工学报, 2015, 30(5-6): 124-128. doi: 10.3969/j.issn.2095-476X.2015.5/6.026
引用本文: 赵平, 刘杰, 马永欢, 等. 基于QPSO的智能天线声阵列自适应波束形成算法模型研究[J]. 轻工学报, 2015, 30(5-6): 124-128. doi: 10.3969/j.issn.2095-476X.2015.5/6.026
shu
ZHAO Ping, LIU Jie, MA Yong-huan and et al. Research on the algorithm model of smart antenna sound array adaptive beam forming based on QPSO[J]. Journal of Light Industry, 2015, 30(5-6): 124-128. doi: 10.3969/j.issn.2095-476X.2015.5/6.026
Citation: ZHAO Ping, LIU Jie, MA Yong-huan and et al. Research on the algorithm model of smart antenna sound array adaptive beam forming based on QPSO[J]. Journal of Light Industry, 2015, 30(5-6): 124-128. doi: 10.3969/j.issn.2095-476X.2015.5/6.026
shu

基于QPSO的智能天线声阵列自适应波束形成算法模型研究

  • 西北工业大学 电子信息学院, 陕西 西安 710129

  • 基金项目: 国家自然科学基金项目(61271279,61201157)

  • 中图分类号: TN99

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

  • School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, China

  • Received Date: 2015-04-27
    Available Online: 2015-11-15

    CLC number: TN99

  • 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 dB,降低噪声方向增益约3.75 dB,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.
    Abstract: 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 about 10 dB, reducing noise directional gain by about 3.75 dB, effectively increasing the system communication capability and anti-jamming capability, and presented a universal scanning angle.
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  • 收稿日期:  2015-04-27
  • 刊出日期:  2015-11-15
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赵平, 刘杰, 马永欢, 等. 基于QPSO的智能天线声阵列自适应波束形成算法模型研究[J]. 轻工学报, 2015, 30(5-6): 124-128. doi: 10.3969/j.issn.2095-476X.2015.5/6.026
引用本文: 赵平, 刘杰, 马永欢, 等. 基于QPSO的智能天线声阵列自适应波束形成算法模型研究[J]. 轻工学报, 2015, 30(5-6): 124-128. doi: 10.3969/j.issn.2095-476X.2015.5/6.026
shu
ZHAO Ping, LIU Jie, MA Yong-huan and et al. Research on the algorithm model of smart antenna sound array adaptive beam forming based on QPSO[J]. Journal of Light Industry, 2015, 30(5-6): 124-128. doi: 10.3969/j.issn.2095-476X.2015.5/6.026
Citation: ZHAO Ping, LIU Jie, MA Yong-huan and et al. Research on the algorithm model of smart antenna sound array adaptive beam forming based on QPSO[J]. Journal of Light Industry, 2015, 30(5-6): 124-128. doi: 10.3969/j.issn.2095-476X.2015.5/6.026
shu

基于QPSO的智能天线声阵列自适应波束形成算法模型研究

  • 西北工业大学 电子信息学院, 陕西 西安 710129
  • 收稿日期: 2015-04-27
  • 网络出版日期: 2015-11-15
基金项目:  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 dB,降低噪声方向增益约3.75 dB,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.

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