系统工程与电子技术 ›› 2018, Vol. 40 ›› Issue (12): 2649-2654.doi: 10.3969/j.issn.1001-506X.2018.12.05

• 电子技术 • 上一篇    下一篇

宽带LFM信号的压缩感知测向算法

王雅婧, 罗明   

  1. 西安电子科技大学电子工程学院,陕西 西安710071
  • 出版日期:2018-11-30 发布日期:2018-11-30

Compressed sensing direction finding algorithm for wideband LFM signals

WANG Yajing, LUO Ming   

  1. School of Electronic Engineering, Xidian University, Xi’an 710071, China
  • Online:2018-11-30 Published:2018-11-30

摘要:

在采用均匀圆阵对宽带线性调频(linear frequency modulation, LFM)信号进行测向时,由于满足奈奎斯特采样所需采样数据量很大,加重了实时处理系统负担。针对这一问题,在小孔径圆阵环境下提出并构建了基于压缩感知理论的时差测向模型,以较少的观测点实现了信号的波达方向估计。研究结果表明,应用所提的基于压缩感知的分数时延估计法对宽带LFM信号测向时,能够获得与分数时延估计测向算法相似的测向精度,并且大量减少了数据的运算量,提高了算法的时间效率。

Abstract:

When applying the uniform circular array to estimate arriving direction of wideband linear frequency modulation (LFM) signal, large amount of sampled points required to satisfy the Nyquist sampling theorem increases the burden of realtime processing system. In order to solve this problem, this paper puts forward and constructs a time difference direction finding model based on compressed sensing theory in small diameter circular array, and realizes the direction of arrival (DOA) estimation with fewer observation points. The results show that the proposed fractional time delay estimation method based on Compressed Sensing can achieve the same direction finding accuracy as the fractional time delay estimation algorithm for wideband LFM signals direction finding, and greatly reduces the computation load of data  and improves the time efficiency of the algorithm.