期刊文献+

一种基于宽带MIMO雷达时域成像的阵列布阵模型 被引量:3

An array model based on time-domain imaging for wideband MIMO radar
下载PDF
导出
摘要 多输入多输出(MIMO)雷达是近几年发展起来的一种新概念雷达体制。为了进一步降低宽带MIMO雷达的阵列规模和硬件复杂度,使MIMO雷达成像技术实用化成为可能,结合改进型后向投影(BP)成像算法,提出了一种非均匀线阵成像系统阵列布阵模型。提出的阵列布阵模型通过成像系统方位向分辨率要求和目标方位向成像场景大小确定阵元间距,使得系统的阵列规模和硬件复杂度显著降低。同时,时域成像算法的使用避免了频域算法存在的采样定理限制,有效增强了阵列设计的灵活性,并使得成像阵列规模和硬件复杂度得到进一步降低。最后仿真实验验证了该成像系统布阵模型的正确性和有效性。 Multiple-input and multiple-output(MIMO) radar is a new radar system developed in recent years.In order to reduce the array dimension and hardware complexity,and make the application of MIMO radar imaging technology come true,a nonlinear array model is proposed,combined with the improved back-projection(BP) imaging algorithm.The proposed array model can acquire the array element intervals by the cross-range resolution requirement of imaging system and the choice of the imaging scene,and so can reduce evidently the array dimension and hardware complexity.Meanwhile,the application of time-domain imaging algorithm can avoid the limitation of sampling theory in frequency-domain,make the array design become flexible,and furthermore reduce the array dimension and hardware complexity.Simulation experiments show the correctness and effectiveness of this array model.
出处 《信号处理》 CSCD 北大核心 2011年第1期143-148,共6页 Journal of Signal Processing
基金 国家自然科学基金项目(60772152)
关键词 多输入多输出(MIMO) 逆合成孔径雷达(ISAR) 后向投影(BP)算法 雷达成像 Multiple-input and multiple-output(MIMO) Inverse synthetic aperture radar(ISAR) Back-projection(BP) algorithm Radar imaging
  • 相关文献

参考文献13

  • 1保铮,邢孟道,王彤.雷达成像技术[M].北京:电子工业出版社,2004.185-227.
  • 2Steinberg B..Radar imaging from a distorted array:the radio camera algorithm and experiments[J].IEEE Trans.Antennas and Propagat.,1981,29(5):740-748.
  • 3Soumekh M..Array imaging with beam-steered data[J].IEEE Trans.Image Process.,1992,1(3):379-390.
  • 4Broquetas,Palau J.,Jofre L.,et al.Spherical wave Rearfield imaging and radar cross-section measurement[J].IEEE Trans.Antennas Propagat.,1998,46(5):730-735.
  • 5López-Sánchez J.M.,Fortuny J..3-D radar imaging using range migration techniques[J].IEEE Trans.Antennas Propagat.,2000,48(5):728-737.
  • 6Fishier E.,Haimovich A.,Blum R.,et al.MIMO radar:An idea whose time has come[C].IEEE Radar Conf.,2004:71-78.
  • 7Fishier E.,Haimovich A.,Blum R.,et al.Spatial diversity in radars-models and detection performance[J].IEEE Trans.Signal Process.,2006,54(3):823-838.
  • 8Li J.,Stoica P.,Zheng X.Y..Signal synthesis and receivcr design for MIMO radar imaging[J].IEEE Trans.Signal Process.,2008,56(8):3959-3968.
  • 9Roberts W.,Stoica P.,Li J.,et al.herative adaptive approaches to MIMO radar imaging[J].IEEE Journal of Selected Topics in Signal Process.,2010,4(1):5-19.
  • 10Ma X.Y.,Wang D.W.,Su Y.2-D imaging via a narrow-hand MIMO radar system[C].IEEE Conference on Signal Process.,2008:2263-2266.

共引文献25

同被引文献22

引证文献3

二级引证文献3

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