期刊文献+

双基地MIMO雷达多目标定位及幅相误差估计 被引量:19

Multitarget Localization and Estimation of Gain-Phase Error for Bistatic MIMO Radar
下载PDF
导出
摘要 本文提出了一种存在幅相误差下的双基地MIMO雷达角度估计方法.利用三次迭代最小二乘算法估计存在幅相误差下的收、发阵列流形,根据信号子空间和噪声子空间的正交性,无需幅相误差的任何信息,采用MUSIC-like算法得到目标的DOD和DOA,且角度自动配对.针对MIMO雷达孔径扩展的特点,分别通过第一个发射阵元和第一个接收阵元的数据估计收发阵列的幅相误差.与现有算法相比,该方法角度估计的精度不依赖于幅相误差,且能得到幅相误差估计的闭式解.性能仿真表明该方法对幅相误差具有一定的容差性,验证了其有效性和优越性. An algorithm for joint estimation of angle and gain-phase error for bistatic MIMO radar is presented.Array manifolds associated with transmit and receive arrays in the presence of gain-phase errors can be obtained by tri-iterative least-square method.According to the orthogonality of the signal-and noise-subspace,the direction-of-arrivals(DOAs) and direction-of-departures(DODs) of targets are estimated by exploiting MUSIC-like algorithm without any priori knowledge of gain-phase error,and automatically paired.Based on the unique features of array aperture extension,the gain-phase errors are calculated by utilizing the data of the first transmit sensor and the first receive sensor respectively.Compared with the algorithm available,the bearing estimation precision is independent of the gain-phase errors.The gain-phase errors can be solved in closed-form.Performance simulations demonstrate the tolerance limit of the method proposed,as well as its effectiveness and superiority.
出处 《电子学报》 EI CAS CSCD 北大核心 2011年第3期596-601,共6页 Acta Electronica Sinica
基金 国家自然科学基金(No.60736009) 杰出青年基金(No.60825104)
关键词 幅相误差 双基地多输入多输出雷达 多目标定位 MUSIC-like 闭式解 容差性 gain-phase error bistatic MIMO radar multitarget localization MUSIC-like closed-form tolerance limit
  • 相关文献

参考文献14

  • 1E Fishler, A Haimovich, R Blum, et al. MIMO radar:An idea whose time has come[ A]. Proceedings of the IEEE. Radar Con-ference[ C]. Philadelphia, PA, USA, 2004.71 -78.
  • 2A M Haimovich, R Blum, L Cimini. MIMO radar with widely separated antennas[J]. IEEE Signal Processing Magazine, 2008,25(1):116-129.
  • 3K W Forsythe,D W Bliss, G S Fawcett. Multiple-input multi-pie-output (MIMO) radar: Performance issues[A]. Processing of the 38th Asilomar Conference on Signals,Systems and Com-puters[ C]. Lexington, MA, USA, 2004.310 -314.
  • 4F C Robey,S Coutts,D Weikle, et aI.MIMO radar theory and experimental results[ A]. Conference Record of the 38th Asilo-mar Conference on Signals, Systems and Cornputers[ C]. Lex-ington, MA, USA, 2004.300 -304.
  • 5D W Bliss,K W Forsythe.Multiple-input muliple-output (MI-MO) radar and image:Degrees of freedom and resolution[A]. Proceedings 37th IEEE ACSSC Pacific Grove[ C]. CA, USA, November 2003.54-59.
  • 6E Fishler,A Haimovich, R Blum, et al. Performance of MIMO radar systems:Advantages of angular diversity[ A]. Conference Record of the 38th Asilomar Conference on Signals, Systems and Computers[ C]. NY,USA,2004.305 -309.
  • 7杨明磊,陈伯孝,张守宏,高昭昭.多载频FMCW在MIMO雷达中的应用研究[J].电子学报,2008,36(12):2351-2356. 被引量:12
  • 8H Lv, D Z Feng, H W Liu, et al. Td-iterative least-square method for bearing estimation in MIMO radar[ J]. Signal Pro-cessing, 2009,89(12) : 2686 -2691.
  • 9N Liu, L-R 2a-iang, J Zlmng,et al. Direction finding of MIMO radar through ESPRIT and Kalman filter [ J ]. ElVes Let-ters,2009,45(17) :908 -910.
  • 10H Yan,J Li, G Liao. Mulfitarget identification and localization using bistatic MIMO radar systems[ J]. EURASIP Journal on Advances in Signal Pttr.essing,2008,8(2): 1-8.

二级参考文献10

共引文献58

同被引文献143

引证文献19

二级引证文献60

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