系统工程与电子技术

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旋转长基线干涉仪的系统偏差联合估计方法

吴癸周, 张敏, 郭福成   

  1. 国防科技大学电子科学与工程学院, 湖南 长沙 410073
  • 出版日期:2015-10-27 发布日期:2010-01-03

Joint bias estimation method for rotating long baseline interferometer system

WU Gui-zhou, ZHANG Min, GUO Fu-cheng   

  1. College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China
  • Online:2015-10-27 Published:2010-01-03

摘要:

针对旋转长基线干涉仪(rotating long baseline interferometer,RLBI)定位系统中接收通道幅/相不一致性、机械加工误差、基线的安装偏差等因素对定位的影响,建立了RLBI系统偏差的模型,证明了基线转角偏差和转轴偏角两种系统偏差的等效性,给出了理论定位偏差的计算方法,指出了引起显著定位偏差的系统偏差,对此提出了一种基于已知位置标校站的系统偏差联合估计的高斯牛顿迭代方法。仿真分析表明,该方法的估计性能可达到克拉美-罗下限(Cramer-Rao lower bound, CRLB),基于单标校站估计和标校系统偏差即可显著提高系统的定位性能。

Abstract:

Considering the effects of the amplitude/phase inconsistencies between different channels, the manufacture bias of the baseline and the installation bias of the baseline on the rotating long baseline interferometer (RLBI) location system, a mathematical model of these biases is proposed. The equivalent of the rotating baseline bias and the horizontal rotation shaft bias are proved. After that, the computing method of the theory localization error and the biases which may cause the distinct localization error is given. Finally, this paper proposes a joint Gauss-Newton bias estimation method based on calibration sources with known positions. The simulation indicates this method can achieve the Cramer-Rao lower bound (CRLB) and a single calibration source can improve the localization performance obviously.