南京大学学报(自然科学版) ›› 2017, Vol. 53 ›› Issue (3): 434–.

• • 上一篇    下一篇

 双基地MIMO雷达多参数联合估计及目标三维定位

 陈 浩1,2,王 琼1*   

  • 出版日期:2017-05-30 发布日期:2017-05-30
  • 作者简介: 1.南京大学电子科学与工程学院,南京,210023;2.安徽师范大学物理与电子信息学院,芜湖,241002
  • 基金资助:
     基金项目:毫米波国家重点实验室开放课题(K201514),江苏省普通高校研究生科研创新计划(KYZZ16_0053)
    收稿日期:2016-12-13
    *通讯联系人,E­mail:wangqiong@nju.edu.cn

 Multiple parameter estimation and three­dimensional localization for bistatic MIMO radar

 Chen Hao1,2,Wang Qiong1*   

  • Online:2017-05-30 Published:2017-05-30
  • About author: 1.School of Electronics Science and Engineering,Nanjing University,Nanjing,210023,China;2.College of Physics and Electronic Information,Anhui Normal University,Wuhu,241002,China

摘要:  多输入多输出(Multiple­input multiple­output,MIMO)雷达具有波形分集、空间分集和极化分集等优势,在抗目标“闪烁”、反干扰、提高分辨力方面有很大的潜力.提出了一种双基地MIMO雷达多参数联合估计及目标三维定位方法.对接收信号的协方差矩阵作特征值分解,提取大特征值对应的特征矢量,构建选择矩阵,基于ESPRIT算法估计出目标的波达角.在求解均匀圆阵时,为将导向矢量中耦合的俯仰角和方位角分开,采用模式激励法解耦合,再分别利用UCA­MUSIC和UCA­ESPRIT算法估计目标俯仰角和波达角.基于MIMO雷达空间结构,利用估计到目标的俯仰角、发射角和波达角,计算得到目标的三维空间坐标信息.该算法可实现角度间的自动配对,可以有效识别同一距离单元内的多个目标.仿真实验表明,提出的估计方法估计精度高,处理速度快.

Abstract:  Bearing estimation and localization are important aspects in radar signal processing.Multiple­input multiple­output(MIMO)radar exploits multiple antennas to transmit diversity waveforms and exploits multiple antennas to receive the signal reflected from the targets simultaneously,which has wide application prospects.MIMO radar has many advantages,such as waveform diversity,spatial diversity,and polarization diversity,thereby dramatically improve the performances of radar systems over the conventional phased arrays.A novel joint multiple parameter estimation and three­dimensional localization method for bistatic MIMO radar system is proposed.After the eigenvalue decomposition of the array output covariance matrix,rotated factor which contain the receive angle can be obtained by construct selection matrices.Based on the estimation of signal parameter via rotation invariance technique(ESPRIT)like algorithm,the direction of arrival(DOA)can be achieved.Owing to the steering vectors which contain the transmit elevation angle and azimuth are coupled with each other,the phase mode excitation method is used to do decoupling.In addition,we estimate the transmit elevation angle and azimuth by the uniform circular array multiple signal classification(UCA­MUSIC)and uniform circular array ESPRIT(UCA­ESPRIT)algorithm respectively.Compared with UCA­MUSIC algorithm,UCA­ESPRIT provides DOA estimates in closed­form with relatively low computational effort.Finally,based on the estimated angles,the three­dimensional(3­D)coordinates of the targets are calculated.The estimate angles can be paired automatically,and avoid additional pairing procedure.For the targets in the same range cell,the proposed algorithm can identify clearly.Simulation results show that the proposed method has the high accuracy and low complexity.

 [1] Fishler E,Haimovich A,Blum R,et al.MIMO radar:An idea whose time has come.In:IEEE Radar Conference.Philadelphia,USA:IEEE Press,2004:71-78.
[2] Forsythe K W,Bliss D W,Fawcett G S.Multiple­input multiple­output(MIMO)radar:Performance issues.In:The 38th Asilomar Conference on Signals,Systems and Computers.Pacific Grove,USA:IEEE Press,2004:310-315.
[3] Haimovich A M,Blum R S,Cimini L J.MIMO radar with widely separated antennas.IEEE Signal Processing Magazine,2008,25(1):116-129. 
[4] Fishler E,Haimovich A,Blum R S,et al.Spatial diversity in radars­models and detection perfor­mance.IEEE Transactions on Signal Processing,2006,54(3):823-838.
[5] Xu L,Li J,Stoica P.Target detection and parameter estimation for MIMO radar systems.IEEE Transactions on Aerospace and Electronics Systems,2008,44(3):927-939.
[6] 肖文书.MIMO雷达中的信号检测.电子学报,2010,38(3):626-631.(Xiao W S.Model of signal detection for MIMO radar.Acta Electronica Sinica,2010,38(3):626-631.)
[7] 陈浩文,黎 湘,庄钊文.一种新兴的雷达体制-MIMO雷达.电子学报,2012,40(6):1190-1198.(Chen H W,Li X,Zhuang Z W.A rising radar system­MIMO radar.Acta Electronica Sinica,2012,40(6):1190-1198.)
[8] Chen D F,Chen B X,Qin G D.Angle estimation using ESPRIT in MIMO radar.Electronics Letters,2008,44(12):770-771.
[9] Chen J L,Gu H,Su W M.Angle estimation using ESPRIT without pairing in MIMO radar.Electronics Letters,2008,44(24):1422-1423.
[10] Zhang X,Xu L,Xu L,et al.Direction of departure(DOD)and direction of arrival(DOA)estimation in MIMO radar with reduced­dimension MUSIC.IEEE Communications Letters,2010,14(12):1161-1163.
[11] 李 丽,邱天爽.双基地MIMO 雷达收发角和多普勒频率参数的联合估计方法.电子学报,2013,41(12):2462-2467.(Li L,Qiu T S.A algorithm for DOD­DOA and Doppler parameters jointly estimating in bistatic MIMO radar system.Acta Electronica Sinica,2013,41(12):2462-2467.)
[12] 樊劲宇,顾 红,苏卫民等.基于张量分解的互质阵MIMO雷达目标多参数估计方法.电子与信息学报,2015,37(4):933-938.(Fan J Y,Gu H,Su W M,et al.Co­prime MIMO radar multi­parameter estimation based on tensor decomposition.Journal of Electronics and Information Technology,2015,37(4):933-938.)
[13] 王彩云,龚珞珞,吴淑侠.色噪声下双基地MIMO雷达DOD和DOA联合估计.系统工程与电子技术,2015,37(10):2255-2259.(Wang C Y,Gong L L,Wu S X.Joint DOD and DOA estimation for bistatic MIMO radar in the presence of colored noise.Systems Engineering and Electronics,2015,37(10):2255-2259.)
[14] 王咸鹏,王 伟,马跃华等.低快拍下MIMO雷达收发角度联合估计方法.哈尔滨工程大学学报,2014,35(9):1129-1134.(Wang X P,Wang W,Ma Y H,et al.Joint DOD and DOA estimation for MIMO radar with lower snapshots.Journal of Harbin Engineering University,2014,35(9):1129-1134.)
[15] Einemo M,So H C.Weighted least squares algorithm for target localization in distributed MIMO radar.Signal Processing,2015,115:144-150. 
[16] Xu L,Zhang X,Yu M.Fast multi­parameter estimation and localization for MIMO radar.Journal of Systems Engineering and Electronics,2015,26(3):486-492.
[17] Li J,Li H,Long L,et al.Multiple target three­dimensional coordinate estimation for bistatic MIMO radar with uniform linear receive array.Journal on Advances in Signal Processing,2013,2013(1):1-11.
[18] Mathews C P,Zoltowski M D.Eigenstructure techniques for 2­D angle estimation with uniform circular array.IEEE Transactions on Signal Processing,1994,42(9):2395-2407.
No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!