系统工程与电子技术

• 电子技术 •    下一篇

基于虚拟孔径扩展的子带信息融合宽带DOA估计

邓佳欣, 廖桂生, 杨志伟, 朱江   

  1. 西安电子科技大学雷达信号处理国家重点实验室, 陕西 西安 710071
  • 出版日期:2016-01-30 发布日期:2010-01-03

Subband information fusion for wideband DOA estimation based on virtual array

DENG Jia-xin, LIAO Gui-sheng, YANG Zhi-wei, ZHU Jiang   

  1. National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China
  • Online:2016-01-30 Published:2010-01-03

摘要:

如何有效地利用宽带信号各频点所提供的信息实现高精度波达角(direction of arrival, DOA)估计一直是热点问题,针对宽带DOA估计问题,提出一种基于孔径扩展的子带信息融合(subband information fusion, SIF)DOA估计方法。该方法在宽带信号的频域模型基础上,结合虚拟阵列方法实现孔径扩展,并联合各子带信息统一处理,从而提高DOA估计的精度。与其他SIF方法相比,该方法利用二阶统计量将数据转化为单快拍模型,不仅提高了可估计信源数目,而且极大程度地降低了运算复杂度,同时在小快拍、低信噪比条件下仍能得到DOA估计结果。仿真实验验证了所提方法的有效性。

Abstract:

This paper focuses on how to utilize the wideband signal information to get efficient direction of arrival (DOA) estimation. A subband information fusion (SIF) DOA estimation method based on virtual array is proposed. By combining the virtual array theory with the data in the frequency domain, the aperture is extended and the accuracy of DOA estimation is improved jointly with the SIF method in the proposed algorithm. Compared with the other SIF method, not only the estimated source number is increased, but also the processing speed. Meanwhile, DOA estimation is guaranteed under small snapshots and low signal-to-noise ration. The numerical simulations show the feasibility of the algorithm.