期刊文献+

扩展孔径的电磁矢量多入多出雷达目标定位算法 被引量:1

Target localization for aperture extending MIMO radar with electromagnetic vector antenna
在线阅读 下载PDF
导出
摘要 提出了一种基于双基地电磁矢量多输入多输出雷达的二维收发角估计算法.针对扩展孔径条件下传统算法的周期性角度模糊问题,提出了一种从极化信息矩阵中求取收发信号波印廷矢量来实现解模糊的算法.极化信息矩阵可通过张量分解从回波数据中求取.为提高发射角估计精度,给出了一种更严格的正交约束条件:不仅要求不同阵元间发射的信号相互正交,还要求同一阵元内所有的偶极子天线发射的信号也相互正交.进而可从极化信息矩阵中得到发射角的不模糊估计.与传统算法相比,该算法通过增大阵元间距提高角度估计性能,且不会产生角度模糊,避免了谱峰搜索和额外的配对过程.仿真实验验证了算法有效性. The estimation of the 2D-direction of departure(2D-DOD)and 2D-direction of arrival(2D-DOA) for MIMO radar system is investigated. A novel algorithm is proposed to unwrap the cyclically ambiguous of the angles estimated by conventional algorithm when aperture extended. The key step is to estimate the poynting vector of signal from the polarization information matrix, which is obtained by CANDECOMP/PARAFAC de- composition. In order to improve the accuracy of DOD,a stricter orthogonal constraint is proposed that the signals of spatial separated elements should be suit to the orthogonal constraint. Furthermore,every antenna in a same geometry center transmits narrow or- thogonal signals simultaneously. Thus,the unambiguous estimation of DOD could be ob- tained from the polarization information matrix. The proposed algorithm offers a better performance through aperture extension without angle ambiguous. It requires neither peak searching nor pairing processes, and simulation results are presented to verify the effectiveness of the proposed algorithm.
出处 《电波科学学报》 EI CSCD 北大核心 2014年第4期610-615,共6页 Chinese Journal of Radio Science
基金 教育部博士点基金(20113219110018) 南京理工大学研究基金(2010ZDJH05 2011ZDJH13)
关键词 双基地MIMO雷达 2D-DOD 2D—DOA 电磁矢量天线 极化散射矩阵 bistatic MIMO radar arrival (2D-DOA) trlxelectromagnetic2D-direction of departure(vector antenna(EMVA) 2D-DOD) ~ 2D-directiopolarization scatteringn ofma
  • 相关文献

参考文献15

  • 1RABIDEAU I)J ,PARKER P. Ubiquitous MIMO mul tifunction digital array radar[C]//The Thirty-seventh Asilomar Conference on Signals,Systems and Compm- ers, Pacific Grove, 2003 : 1057-1064.
  • 2曾建奎,何子述.慢起伏目标的多输入多输出雷达检测性能分析[J].电波科学学报,2008,23(1):158-161. 被引量:12
  • 3程院兵,顾红,苏卫民.双基地MIMO雷达发射波束形成与多目标定位[J].电波科学学报,2012,27(2):275-281. 被引量:10
  • 4陈显舟,杨源,韩静静,李立萍.双基地多入多出雷达收发方位角联合估计算法[J].电波科学学报,2013(1):176-182. 被引量:9
  • 5JI L,CONAN J, PIERRE S. Joint Estimation of chan- nel parameters for M/MO communication systems [C]//Second International Symposium on wireless Communication System,5-7 September, 2005 : 22-26.
  • 6DUOFANG C,BAIXIAO C, GUODONG Q. Angle es- timation using ESPRIT in MIMO radar[J]. Electronics Letters, 2008,44 ( 12 ) : 770-771.
  • 7YUANBING C, HONG G,WEIMIN S. Joint 4-D angle and Doppler shift estimation via tensor decomposition for MIMO array [J]. IEEE Communications I.etters, 2012,16(6) :917-920.
  • 8NEHORAI A, TICHAVSKY P. Cross-product algo- rithms for source tracking using an EM vector sensor [J]. IEEE Transactions on Signal Processing. 1999,47 (10) : 2863-2867.
  • 9ZOLTOWSKI M D, WONG K T. ESPRIT-based 2-D direction finding with a sparse uniform array of electro- magnetic vector sensors[J]. IEEE Transactions on Sig- nal Processing. 2000,48 ( 8 ) : 2195-2204.
  • 10SVANTESSON T,JENSEN M A,Wallace J W. Anal- ysis of electromagnetic field polarizations in muhian-tenna systems [J]. IEEE Transactions on Wireless Communications. 2004,3(2) : 641-646.

二级参考文献52

  • 1于春阳,汪文秉.应用空域分解法分析复杂目标的散射特性[J].电波科学学报,1995,10(3):40-45. 被引量:2
  • 2何子述,韩春林,刘波.MIMO雷达概念及其技术特点分析[J].电子学报,2005,33(B12):2441-2445. 被引量:99
  • 3Li J, Stoica P. MIMO radar with colocated antennas[J].IEEE Signal Processing Magazine, 2007, 24(5) : 106-114.
  • 4Xu L, Li J, Stoica P. Target detection and parameter esti- mation for MIMO radar systems[J]. IEEE Transactions on Aerospace and Electronic Systems, 2008, 44(3): 927- 939.
  • 5Li J, Stoica P, Xu L, et al. On parameter identifiability of MIMO radar[J]. IEEE Signal Processing Letters, 2007, 14(12) : 968-971.
  • 6Tajer A, Jajamovich G H, Wang X, et al. Optimal joint target detection and parameter estimation by MIMO radar[J]. IEEE Journal of Selected Topics in Signal Process- ing, 2010, 4(1): 127-145.
  • 7Yah H D, Li J, I.iao G S. Multitarget identification locali- zation using bistatic MIMO radar systems[J]. EURASIP Journal on Advances in Signal Processing, 2008, 8(2) : 1-8.
  • 8Duofang C, Baixiao C, Guodong Q, et al. Angle estima- tion using ESPRIT in MIMO radar[J]. IET Electronics Letters, 2008, 44(12): 770-771.
  • 9Zhang X, Xu D. Low-complexity ESPRIT-based DOA es- timation for colocated MIMO radar using reduced dimen- sion transformation [J].Electronics Letters, 2011, 47(4): 283-284.
  • 10Bencheikh M L, Wang Y. Joint DOD-DOA estimation u- sing combined ESPRIT-MUSIC approach in MIMO radar [J]. IET Electronics Letters, 2010, 46(15): 1081-1083.

共引文献25

同被引文献16

  • 1CHEN D F, CHEN B X, QIN G D. Angle estimation using ESPRIT in MIMO radar[J]. Electronics let- ters, 2008, 44(12): 770-771.
  • 2CHEN J L, GU H, SU W M. Angle estimation using ESPRIT without pairing in MIMO radar[J]. Elec- tronics letters, 2008, 44(24) : 1422-1423.
  • 3HSU C H, LIU H C, HUA M C. Joint DOD--DOA estimation based on signal subspace approach in MI- MO radars [J]. Wireless personal communications, 2014, 77: 951-961.
  • 4NILSSON E, WARSTON H. Radar with separated subarray antennas [C]//2003 Radar Conference. Ad- elaide, 2003: 194-199.
  • 5WILSON M J, MCHUGH R. Sparse-periodic hybrid array beamformer [J]. lET radar sonar naviga- tion, 2007, 1(2), 116-123.
  • 6ZHENG G M, CHEN B X. Unitary dual-resolution ESPRIT for joint DOD and DOA estimation in bistatic MIMO radar [J]. Multidimensional systems and sig- nal processing, 2015, 26: 159-178.
  • 7MAY, CHEN B X, YANG M L, et al. A novel ESPRIT-based algorithm for DOA estimation with distributed subarray antenna [J]. Circuits, system and signal processing, 2015, 34 (9): 2951-2972. DOI: 10. 1007/s00034-015-9987-6.
  • 8JACKSON M C. The geometry of bistatic radar sys- tems [J]. IEE proceedings, 1986, 133 (7). 604-612.
  • 9OTTERSTEN B, VIBERG M, KAILATH T. Per- formance analysis of the total least squares ESPRIT algorithm [J]. IEEE transactions on signal process- ing, 1991, 39: 1122-1134.
  • 10RAO B D, HARI K V S. Performance analysis of ESPRIT and TAM in determining the direction of ar- rival of plane waves in noise [J]. Transactions on a- coustics, speech, and signal processing, 1989, 37 1990-1995.

引证文献1

二级引证文献2

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