基于智能天线的北斗导航稳健波束形成算法研究

本项目以复杂干扰环境下卫星信号无失真接收为研究目标，采用阵列天线和惯性导航(INS)等跨学科理论，并依据北斗(BD)卫星信号的特点，从基于DOA辅助下的空频自适应处理(SFAP)波束形成、DOA失配下的稳健波束形成和无需DOA辅助的盲波束形成三个方面，逐渐深入探索适用于BD导航接收机的稳健抗干扰技术。. 本项目首先以空域抗干扰为切入点，采用BD/INS组合导航理论，解决低SNR条件下的卫星信号DOA估计问题；然后推导SFAP条件下的伪码、载波无失真接收条件，设计基于期望信号无失真接收的SFAP波束形成器。其次，研究惯性测量单元(IMU)参数与BD/INS导航解算误差模型，量化DOA误差边界，确定幅值响应与导向矢量约束条件，设计DOA失配情况下的稳健波束形成器。最后，研究BD卫星信号的循环平稳和空域稀疏特性，结合矢量跟踪环路(VTL)，研究无DOA先验信息情况下的盲波束形成算法。

This project researches robust beamforming technologies for Compass(BD) navigation for the purpose of absorbing the satellite signal without distortion in the complex interference environment, in which array antenna and inertial navigation interdisciplinary theories are introduced. This project does the research from three aspects, i.e., DOA-assisted space-frequency adaptive processing (SFAP) beamforming, robust beamforming under DOA mismatch and blind beamforming without DOA..Firstly, considering interference suppression in spatial domain, BD/INS integrated navigation theory is used to solve the DOA estimation of satellite signal under low SNR condition. Then design a SFAP beamformer under the condition of CA code and carrier received distortionless. Secondly, we study the relationship between the inertial measurement unit and the BD/INS navigation error model. After calculating DOA error boundary, we determine the constraint conditions of amplitude response and the steering vector and design the robust.former in the case of DOA mismatch. Finally, the algorithm of blind beamforming in the case of non-DOA priori information is studied by exploring the advantage of vector tracking loop and cyclostationary characteristics of BD satellite signals.