期刊文献+

基于虚拟孔径扩展的子带信息融合宽带DOA估计 被引量:8

Subband information fusion for wideband DOA estimation based on virtual array
下载PDF
导出
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。 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 ex- tended 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 process- ing speed. Meanwhile, DOA estimation is guaranteed under small snapshots and low signal-to-noise ration. The numerical simulations show the feasibility of the algorithm.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2016年第2期245-250,共6页 Systems Engineering and Electronics
基金 国家自然科学基金重点项目(61231017)资助课题
关键词 波达角估计 宽带信号 虚拟阵列 子带信息融合 direction of arrival (DOA) estimation wideband signal virtual array subband information fusion (SIF)
  • 相关文献

参考文献15

  • 1王峰,李婧,刘俊,陈希信,龙伟军.宽带数字阵雷达数字波束形成系统研究[J].雷达学报(中英文),2013,2(3):314-318. 被引量:10
  • 2Joe C C, Ralph E H, Yao K. Maximum-likelihood source locali- zation and unknown sensor location estimation for wideband sig- nals in the near-field[J]. IEEE Trans. on Signal Processing, 2002, 50(8) : 1843 - 1854.
  • 3Lu L, Wu H. Novel robust direction-of-arrival based source Io- calization algorithm for wideband signals [J]. IEEE Trans. on Wireless Communications, 2012, 11 ( 11 ) : 3850 - 3859.
  • 4Wax M, Shan T J, Kaiath T M W, et al. Spat[o-temporal spec- tra[ analysis by eigenstructure methods [J ]. IEEE Trans. on Acoustics, Speech and Signal Processing, 1984,32(4) :817 - 827.
  • 5Wang H, Kaveh M. Coherent signabsubspace processing for the de- tection and estimation of angles of arrival of multiple wide-band sources[J]. IEEE Trans. on Acoustics Speech ,1985,33(4) :823 - 831.
  • 6潘捷,周建江.基于凸优化的Khatri-Rao子空间宽带DOA估计[J].电子与信息学报,2013,35(1):80-84. 被引量:14
  • 7Malioutov D, :etin M, Alan S W. A sparse signal reconstruc- tion perspective for source localization with sensor arrays[J]. IEEE Trans. on Signal Processing, 2005, 53(8) : 3010 - 3022.
  • 8Hyder M M, Mahata K. Direction of arrival estimation using a mixed/2,0 norm approximation[J]. IEEE Trans. on Signal Pro- cessing,2010, 58(9): 4646-4655.
  • 9Zhang M L, Zhi T H, Yi Y Z. Direction-of-arrival estimation ofwideband signals via eovariance matrix sparse representation[J]. IEEE Trans. on Signal Processing ,2011, 59(9) : 4256 - 4270.
  • 10Luo J A, Zhang X P, Wang Z. A new subband information fu- sion method for wideband D0A estimation using sparse signal representation[C]//Proc, of the IEEE International Conference on Acoustics, Speech and Signal Processing ,2013:4016 - 4020.

二级参考文献20

  • 1王峰,傅有光,孟兵,陈丽敏.基于傅里叶变换的雷达通道均衡算法性能分析及改进[J].电子学报,2006,34(9):1677-1680. 被引量:37
  • 2金荣洪,王治国,耿军平,范瑜,练成栋.下行波束形成系统的校正算法及FPGA实现[J].电波科学学报,2006,21(5):692-696. 被引量:1
  • 3Wax M,Shan Tie-jun,Kailath T. Spatio-temporal spectral analysis by eigenstructure methods[J].{H}IEEE Transactions on Acoustics Speech and Signal Processing,1984,(04):817-827.
  • 4Wang H,Kaveh M. Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wide-band sources[J].{H}IEEE Transactions on Acoustics Speech and Signal Processing,1985,(04):823-831.
  • 5Yoon Yeo-sun,Kaplan L,and McClellan J H. TOPS:new DOA estimator for wideband signals[J].{H}IEEE Transactions on Signal Processing,2006,(06):1977-1989.
  • 6Sellone F. Robust auto-focusing wideband DOA estimation[J].{H}SIGNAL PROCESSING,2006,(01):17-37.
  • 7Pal P,Vaidyanathan P P. A novel autofocusing approach for estimating directions-of-arrival of wideband signals[A].Pacific Grove,2009.1663-1667.
  • 8Ma Wing-Kin,Hsieh Tsung-Han,and Chi Chong-Yung. DOA Estimation of quasi-stationary signals with less sensors than sources and unknown spatial noise covariance:a Khatri-Rao subspace approach[J].{H}IEEE Transactions on Signal Processing,2010,(04):2168-2180.
  • 9Palanisamy P,Kishore C. 2-D DOA estimation of quasi-stationary signals based on Khatri-Rao subspace approach[A].Chennai,2011.798-803.
  • 10Pal P,Vaidyanathan P P. Two dimensional nested arrays on lattices[A].Prague,2011.2548-2551.

共引文献22

同被引文献34

引证文献8

二级引证文献19

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部