东北大学学报(自然科学版) ›› 2004, Vol. 25 ›› Issue (11): 1058-1060.DOI: -

• 论著 • 上一篇    下一篇

OS-ESPRIT算法

刘福来;汪晋宽;于戈   

  1. 东北大学信息科学与工程学院;东北大学信息科学与工程学院;东北大学信息科学与工程学院 辽宁沈阳 110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2004-11-15 发布日期:2013-06-24
  • 通讯作者: Liu, F.-L.
  • 作者简介:-
  • 基金资助:
    教育部科学技术研究重点项目(02085)

OS-ESPRIT algorithm

Liu, Fu-Lai (1); Wang, Jin-Kuan (1); Yu, Ge (1)   

  1. (1) Sch. of Info. Sci. and Eng., Northeastern Univ., Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2004-11-15 Published:2013-06-24
  • Contact: Liu, F.-L.
  • About author:-
  • Supported by:
    -

摘要: 讨论了无线网络环境中多径窄带信号的波达方向(DOA)估计算法的特点和性能,提出了基于一步特征值分解的S ESPRIT(OS ESPRIT)算法,该算法利用空间平滑的思想抽取采样数据,利用这些数据把对阵列流型的估计转化为旋转矩阵的估计,只需要一次特征值分解就可以求解DOA,与S ESPRIT算法相比,该算法求解过程简单且具有较小的估计误差,对信噪比的变化有更好的鲁棒性等优点,而且更适用于信噪比较低的通信环境·计算机仿真结果证明了该算法的有效性·

关键词: SESPRIT算法, 波达方向, 多径, 特征值分解, 信噪比

Abstract: An OS-ESPRIT algorithm is proposed on the basis of analyzing the features and performances of DOA estimation algorithms of multipath propagation narrow-band signals in wireless network communication environment. The sampling date is virtued of the idea of space smoothing, and by making use of them, the array manifold estimation is transferred to rotational matrix estimation, and only one-step eigenvalue decomposition is needed to estimate DOA. Compared with S-ESPRIT algorithm, the solution process using the proposed approach is simpler with smaller estimation error especially it exhibits higher robustness to the change in signal-to-noise ratio (SNR). It is more available to a lower SNR communication environment. The simulation results show the effectiveness of the algorithm.

中图分类号: