期刊文献+

基于实值处理的联合波束域双基地MIMO雷达测角算法 被引量:7

Joint Real-valued Beamspace-based Method for Angle Estimation in Bistatic MIMO Radar
下载PDF
导出
摘要 该文提出一种基于实值处理的联合波束域双基地多输入多输出(MIMO)雷达测角方法。与直接采用离散傅里叶变换(DFT)空域滤波器的传统波束域方法不同,该方法的空域滤波器通过凸优化方法进行设计,能够灵活控制空域滤波器的带宽并抑制旁瓣电平。基于这种特性,设计的空域滤波器的主旁瓣比能够得到很大提高,从而提高测角性能。更重要的是,所提算法对发射和接收波束矩阵的结构进行设计,这种特殊的结构是构造实值信号模型的必要条件。最后,该文通过建立映射关系的方法对插值误差进行补偿。仿真结果验证了该算法的有效性。 A joint real-valued beamspace-based method for angle estimation in bistatic Multiple-Input Multiple- Output (MIMO) radar is proposed.Instead of using the traditional Discrete Fourier Transform (DFT) beamspace filter,the proposed beamspace filter is designed through convex optimization,which can flexibly control the bandwidth and limit the sidelobe level.Based on this property,the mainlobe-to-sidelobe ratio of the proposed beamspace filter can be greatly improved,which results in the improved estimation performance. More importantly,the structure of the proposed beamspace matrix can be properly designed,which is indispensable in constructing the real-valued signal model.Finally,the mapping relationship to compensate the interpolation error is established.Simulation results verify the effectiveness of the proposed method.
作者 徐保庆 赵永波 庞晓娇 XU Baoqing;ZHAO Yongbo;PANG Xiaojiao(National Laboratory of Radar Signal Processing,Xidian University,Xi'an 710071,China;Collaborative Innovation Center of Information Sensing and Understanding,Xidian University,Xi'an 710071,China)
出处 《电子与信息学报》 EI CSCD 北大核心 2019年第7期1721-1727,共7页 Journal of Electronics & Information Technology
基金 中央高校基本科研业务费项目(K5051202047)~~
关键词 多输入多输出雷达 凸优化 角度估计 波束域转换 MIMO radar Convex optimization Angle estimation Beamspace transformation
  • 相关文献

参考文献4

二级参考文献46

  • 1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:97
  • 2HULEIHEL W, TABRIKIAN J, and SHAVIT R. Optimal adaptive waveform design for cognitive MIMO radar[J]. IEEE Transactions on Signal Processing, 2013, 61(20): 5075-5089.
  • 3WANG P, LI H B, and HIMED B. A parametric moving target detector for distributed MIMO radar in non- homogeneous environment[J]. IEEE Transactions on Signal Processing, 2013, 61(9): 2282-2294.
  • 4TANG B, TANG J, ZHANG Y, et al. Maximum likelihood estimation of DOD and DOA for bistatic MIMO radar[J]. Signal Processing, 2013, 93(5): 1349-1357.
  • 5ZHANG X, HUANG Y, CHEN C, et al. Reduced-complexity Capon for direction of arrival estimation in a monostatic multiple-input multiple-output radar[J]. IET Radar, Sonar & Navigation, 2012, 6(8): 796-801.
  • 6ZHANG X and XU D. Low-complexity ESPRIT-based DOA estimation for colocated MIMO radar using reduced- dimension transformation[J]. Eletronics Letters, 2011, 47(4): 283-284.
  • 7ARASH K, ABOULNASR H, SERGIY A V, et al. Efficient transmit beamspace design for search-free based DOA estimation in MIMO radar[J]. IEEE Transactions on Signal Processing, 2014, 62(6): 1490-1500.
  • 8HASSANIEN A and VOROBYOV S A. Transmit energy focusing for DOA estimation in MIMO radar with colocated antennas[J]. IEEE Transactions on Signal Processing, 2011, 59(6): 2669-2682.
  • 9CHEN H W, LI X, JIANG W D, et al. MIMO radar sensitivity analysis of antenna position for direction finding[J]. IEEE Transactions on Signal Processing, 2012, 60(10): 5201-5216.
  • 10CHEN H W, ZHOU W, YANG J, et al. Manifold sensitivity analysis for MIMO radar[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(5): 999-1003.

共引文献38

同被引文献25

引证文献7

二级引证文献11

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