期刊文献+

空间色噪声环境下双基地MIMO雷达DOD和DOA联合估计方法

Joint Estimation Method of DOD and DOA for Bistatic MIMO Radar in Spatial Colored Noise Environment
下载PDF
导出
摘要 针对空间色噪声环境提出一种同时利用空域和时域信息的双基地MIMO雷达DOD(Direction of Departure)和DOA(Direction of Arrival)联合估计方法。该方法在时域高斯白噪声的假设下,将不同时刻的匹配滤波器输出进行互相关以消除空间色噪声的影响并获得空时互相关矩阵,然后基于传播算子方法构造一低维矩阵,利用其特征参数与待估参数的特定关系获得目标DOD(Direction of Departure)和DOA(Direction of Arrival)的联合估计。该方法能够有效克服空间色噪声的影响,所估计参数自动配对。与现有方法相比,其孔径损失小,具有更优的参数估计性能和最大可检测目标数,且对发射阵元个数没有特殊要求,具有更广泛的适用性。计算机仿真验证了本文方法的有效性。 In view of special colored noise environment, a method of joint estimation of Direction of Departure (DOD) and Direction of Arrival (DOA) for bistatic MIMO radar is presented. On basis of assumption of temporally Gaussian white noise, this method is used to perform cross - correlation of the match filter outputs in different time delay to eliminate effect of the spatial colored noise and obtain the spatio-temporally cross-correlation matrix. Then, a low-dimensional matrix is constructed on basis of the propagator method to obtain joint estimation of DODs and DOAs of the targets by using the specified relationship between the characteristic parameters and the parameters to be estimated. This method can eliminate effect of spatial colored noise effectively, and the obtained parameters are automatically paired. Comparing with the existing methods, the proposed method has more widely applicability ow- ing to its less array aperture loss, excellent parameters estimating capability, maximal quantity of detecting target as well as no special requirement for the number of transmitting array. The results simulated with computers verify ef- fectiveness of the proposed method.
出处 《火控雷达技术》 2013年第4期47-52,共6页 Fire Control Radar Technology
基金 国家自然科学基金(60902079) 国防科技重点实验室基金资助课题(9140C0104081005)
关键词 双基地MIMO雷达 空间色噪声 空时互相关矩阵 传播算子 bistatic MIMO radar spatial colored noise spatio-temporal cross-correlation matrix propagator meth-od (PM)
  • 相关文献

参考文献11

  • 1Fishler E, Haimovich A and Blum RS. MIMO radar: an idear whose time has come [ C ]. IEEE Radar Conference, Philadelphia, Penn- sylvania, USA, Apr. 2004:71-78.
  • 2Fishier E, Haimovich A and Blum RS. Spatial Diversity in Radars- models and Detection Per- formance [ J ]. IEEE Trans. Signal Processing, 2006,54:823 - 838.
  • 3Bekkeman I, Tabrikian J. Target Detection and Localization using MIMO Radars and Sonars [ J ]. IEEE Trans. Signal Processing, 2006,54:3873 - 3883.
  • 4LuzhouX, Jian L and Stoioa P. Target Detection and Parameter Estimation for MIMO Radar[ J ]. IEEE Trans. Aero Electr Sys, 2008,44 ; 927 - 939.
  • 5Duofang C, Baixiao C and Guodong Q. Angle Estimation Using ESPRIT in MIMO Radar[ J ]. Electronics Letters, 2008,44:770 - 771.
  • 6Jinlin C, Hong G and Weimin S. Angle Estima- tion using ESPRIT without Paring in MIMO Ra- dar [ J ]. Electronics Letters, 2008,44 : 1422 - 1423.
  • 7Yunhe C. Joint Estimation of Angle and Doppler Frequency for MIMO Radar [ J ]. Electronics Letters, 2010,46 : 170 - 172.
  • 8Ming J, Guisheng L and Jun L. Joint DOD and DOA estimation for bistatic MIMO radar [ J ]. Signal Processing, 2009,89 : 244 - 251.
  • 9Jinlin C, Gu H and Weimin S. A new method for Joint DOD and DOA estimation in bistatic MIMO radar[ J]. Signal Processing, 2010,90 : 714 -718.
  • 10吴云韬,廖桂生,田孝华.一种波达方向、频率联合估计快速算法[J].电波科学学报,2003,18(4):380-384. 被引量:42

二级参考文献13

  • 1廖桂生,保铮.未知阵列流形条件下波达方向-多普勒频率盲估计方法[J].电子科学学刊,1997,19(2):152-157. 被引量:11
  • 2Michael D Zoltowski and Cherian P Mathews. Realtime frequency and 2-D angle estimation with subnyquist spatio-temporal sampling [J]. IEEE Trans.Signal Processing,1994,42(10) :2781~2794.
  • 3M Haardt and J A Nossek. 3-D ESPRIT for joint angle and carrierestimation[C], in Proc. ICASSP'97, April,Germany,pp. 255~258.
  • 4CLARK,M P and SCHARF,L L. Two-imermional modal analysis based on maximum likelihood[J]. IEEE Trans. SP , 1994,42 (6):1443~1452.
  • 5ERIKSSON, J. Aspects on parameter estimation and data reduction in doppler radar[R], no. 242L, Licentiate thesis, 1996 ,Goteborg,Sweden.
  • 6F Li and R Vaccaro. On frequency-wavenumber estimation by state-space realization [J]. IEEE Trans on CAS, 1991,38(3) : 800~ 804.
  • 7Y Hua. Estimating two-dimensional frequencies by matrix enhancement and matrix pencil[J]. IEEE Trans. on SP, 1992,40(9) :2267~2280.
  • 8Aweke N Lemma, Alle-Jan van der Veen and Ed F Deorettere. Joint angle-frequency estimation using multiresolution ESPRIT[C]. in Proc. ICASSP'98, May, vol.4 ,pp. 1957~1960 ,Seattle,WA.
  • 9HAARDT,M , ZOLTOWSKI,M D , MATHEWS,C P and RAMOS J. ESPRIT and closed-form 2- Dangle estimation with planar arrays [M]. in Digital SignalProcessing Handbook, MADISETTI. V and WILLIAMS,D. B. , Eds. , CRC Press,USA, 1998.
  • 10VIBERG, M and P STOICA. A computationally efficient method for joint direction finding and frequency estimation in colored noise[C]. Conf. Record of the Thirty-Second Asilomar Conf. On Signals, Systems & Computers, 1998,2:1547~ 1551.

共引文献41

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