华东师范大学学报(自然科学版) ›› 2013, Vol. 2013 ›› Issue (6): 102-111.

• 计算机科学 • 上一篇    下一篇

未知信源数条件下基于合成空间谱的弱信号DOA估计方法

侯 帅, 潘 伟   

  1. 北京信息技术研究所,北京 100094
  • 收稿日期:2012-11-01 修回日期:2013-02-01 出版日期:2013-11-25 发布日期:2014-01-13

Weak signal DOA estimation method based on synthetic spectrum without prior knowledge of source number

HOU Shuai  PAN Wei   

  1. Beijing Information and Technology Research Institute, Beijing 100094, China
  • Received:2012-11-01 Revised:2013-02-01 Online:2013-11-25 Published:2014-01-13

摘要: 针对强弱信号并存时信源数和弱信号波达方向难以准确估计的问题,提出了一种基于合成空间谱的弱信号DOA估计方法. 该方法将阵列的特征波束通道输出进行加权叠加,并用其对噪声子空间逼近法的空间谱函数进行方位加权,得到合成空间谱对弱信号DOA进行估计. 本方法无需信源数目已知的先验信息.相比于已有的基于特征波束形成的弱信号DOA估计法,本方法在多个弱信号来波方向较接近时具有更好的估计性能,仿真结果证实了本方法的有效性和优势.

关键词: 弱信号DOA估计, 强信号抑制, 未知信源数, 噪声子空间逼近, 合成空间谱

Abstract: For the problem of the source number and DOA estimation of the weak signals in the interference of the strong signals, a novel method based on synthetic spectrum is proposed. In this method, the outputs of the eigen-beam channels are superimposed by different weights to form a spatial spectrum function. Then the function is used to weight the spatial spectrum function derived from the noise subspace approximation method. Finally, the synthetic spectrum function is constructed to estimate the DOAs of the weak signals without the prior knowledge of source number. Compared to the prevois method based on eigen beamforming, the proposed method has better performance when the DOAs of weak signals are close to each other. The effectiveness and advantage of this method is verified by the simulation results.

Key words: weak signal DOA estimation, strong signal suppression, unknown source number, noise subspace approximation, synthetic spectrum

中图分类号: