期刊文献+

单快拍数据的分布式二维阵列测角方法研究 被引量:3

2-D DOA Estimation of Distributed Array with Single Snapshot
下载PDF
导出
摘要 该文针对2维阵列波达方向估计问题,提出一种基于单快拍数据的分布式2维DOA估计算法。该算法首先利用每个子阵单元的单快拍数据进行2维Hankle矩阵构造;然后基于2维状态空间平衡法分别获得方位角和俯仰角子阵单元内DOA估计与子阵单元间DOA估计;最后通过解模糊算法获得方位角和俯仰角高精度无模糊DOA估计。该算法较好地解决了子阵单元内DOA估计和子阵单元间DOA估计之间的配对问题以及俯仰角和方位角之间配对问题,充分利用分布式阵列扩展阵列物理孔径特性;同时该算法可直接对相干信号和非相干信号进行处理。计算机仿真结果验证了所提算法的有效性。 An algorithm of Direction Of Arrival(DOA) estimation based on the single-snapshot data is proposed for distributed Two-Dimensional(2-D) array.2-D Hankle matrixes are firstly constructed using the single observation of every subarray element.Then angles of azimuth and elevation for different baselines based on the distributed 2-D array are estimated using 2-D state space balance method.Finally,high accuracy and unambiguous angles of azimuth and elevation are obtained through the solution of fuzzy algorithm.The matching problem of the DOA estimation about different baselines and the pairing problem between azimuth and elevation are well solved by the proposed algorithm,therefore the characteristic of large aperture is acquired using the distributed array.At the same time,this algorithm can deal with the correlation signals and uncorrelation signals.Computer simulation results confirm the effectiveness of the proposed algorithm.
作者 王俊 向洪 魏少明 蒋海 WANG Jun;XIANG Hong;WEI Shaoming;JIANG Hai(School of Electronics and Information Engineering, Beihang University, Beijing 100191, China;Key Laboratory of Space Physics, Beijing 100076, China)
出处 《电子与信息学报》 EI CSCD 北大核心 2018年第6期1375-1382,共8页 Journal of Electronics & Information Technology
基金 国家自然科学基金(61671035 61501011 61501012)~~
关键词 DOA估计 分布式阵列 2维Hankle矩阵 自动配对 DOA estimation Distributed array Two-dimensional Hankle matrix Auto pairing
  • 相关文献

参考文献6

二级参考文献36

  • 1何明浩,尹以新,张贤达.加权子空间拟合相干信源二维波达方向估计[J].现代雷达,2001,23(1):49-51. 被引量:6
  • 2Chen W, Xu X, Wen S, et al. Super-resolution direction finding with far-separated subarrays using virtual array ele- ments[J]. IET Radar, Sonar and Navigation, 2011,5(8) : 824-834.
  • 3Coutts S, Cuomo K, McHarg J, et al. Distributed coherent aperture measurements for next generation BMD radar[ C]// 2006 IEEE Sensor Array and Multichannel Processing Work- shop. Waltham, MA: IEEE Press, 2006.
  • 4Athley F, Engdahl C. Direction-of-arrival estimation using separated subarrays [ C ]//Conference Record of the Thirty- Fourth Asilomar Conference on Signals, Systems, and Com- puters. Pacific Grove, CA: IEEE Press, 2000.
  • 5Vasylyshyn V. Direction of arrival estimation using ESPRIT with sparse arrays [ C ]// Proceedings of the 6th European Radar Conference. Rome, Italy: IEEE Press, 2009.
  • 6Swindlehurst A, Ottersten B, Roy R, et al. Multiple invar- iance ESPRIT [ J ]. IEEE Transactions on Signal Process- ing, 1992, 40(4) :867-881.
  • 7Swindlehurst A L, Stoica P, Jansson M. Exploiting arrays with multiple invariances using MUSIC and MODE [ J ]. IEEE Transactions on Signal Processing, 2001, 49 ( 11 ) : 2511-2521.
  • 8Vasylyshyn V. Unitary ESPRIT-based DOA estimation u- sing sparse linear dual size spatial invariance array [ C ]// 2005 European Radar Conference. Paris, France: IEEE Press, 2005.
  • 9Zheng Guimei, Chen Baixiao, Yang Minglei. Unitary ES- PRIT algorithm for bistatic MIMO radar [ J ]. Electronics Letters, 2012,48(3) :179-181.
  • 10Vasylyshyn V I. Closed-form DOA estimation with multi- scale Unitary ESPRIT algorithm [ C ]// Conference Pro- ceedings. 1st European Radar Conference. Amsterdam, Netherlands: IEEE Press, 2004.

共引文献62

同被引文献20

引证文献3

二级引证文献13

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