航空学报 > 2009, Vol. 30 Issue (11): 2149-2155

星载DBF接收天线误差校正算法

顾菁华1,2, 龚文斌2, 余金培1,2   

  1. 1中国科学院上海微系统与信息技术研究所 2上海微小卫星工程中心 通信技术实验室
  • 收稿日期:2008-09-11 修回日期:2009-01-12 出版日期:2009-11-25 发布日期:2009-11-25
  • 通讯作者: 顾菁华

Calibration Algorithm of Satelliteborne DBF Receiving Antenna Array

Gu Jinghua1,2, Gong Wenbin2, Yu Jinpei1,2   

  1. 1 Shanghai Institute of Microsystems and Information Technology, Chinese Academy of Sciences 2 Communication Technology Lab, Shanghai Engineering Center for Microsatellites
  • Received:2008-09-11 Revised:2009-01-12 Online:2009-11-25 Published:2009-11-25
  • Contact: Gu Jinghua

摘要: 提出了一种改进的基于子空间的星载数字波束形成(DBF)接收天线的误差校正方法。根据阵列互耦效应主要取决于阵元间的几何距离这一特点,利用阵元空间排布的对称性简化了天线的互耦模型,将天线的互耦效应及射频(RF)通道失配统一为通道间的幅相不一致。通过在基带注入特定的阵内相位差降低了子空间算法的计算复杂度。在建立7单元正六边形平面阵仿真模型的基础上,分析不同信噪比(SNR)环境下校正算法的性能,经比较得出可以通过提高发射信号功率改善误差估计的精度,验证了算法的有效性。仿真分析结果表明该算法在卫星通信系统中有一定的工程应用价值。

关键词: 数字波束形成, 互耦, 通道失配, 阵列天线, 信号子空间, 计算复杂度, 卫星通信系统

Abstract: An improved calibration method for a satelliteborne digital beanforming (DBF) receiving antenna is presented based on the signal subspace principle. On the basis of the fact that the mutual coupling effect of array is mainly determined by the distance between the array elements, the mutual coupling model is simplified by utilizing the symmetrical array distribution. Mutual coupling effect and imbalance among the ratio frequency (RF) channels are converted to amplitude and phase errors. Computational complexity of the subspace algorithm is reduced by adding specific array phase differences to the baseband. Computer simulation based on a 7element planar hexagonal antenna array illustrates the validity of the method. The performance of the algorithm is contrasted under different signal noise ratio (SNR) conditions and thus leads to the conclusion that the antenna error estimation precision can be improved by increasing the signal transmitting power. Simulation results show that the proposed method is of value for engineering application in satellite communication systems.

Key words: digital beamforming, mutual coupling, channel imbalance, antenna array, signal subspace, computational complexity, satellite communication systems

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