首页> 外文期刊>Radar, Sonar & Navigation, IET >Direction of arrival estimation for monostatic multiple-input multiple-output radar with arbitrary array structures
【24h】

Direction of arrival estimation for monostatic multiple-input multiple-output radar with arbitrary array structures

机译:具有任意阵列结构的单基地多输入多输出雷达的到达方向估计

获取原文
获取原文并翻译 | 示例

摘要

Compared with other systems with a single transmit antenna, multiple-input multiple-output (MIMO) radar systems have additional degrees of freedom that can enhance space resolution, improve parameter identifiability and enhance flexibility for transmit beam pattern design. The computational complexity for direction of arrival (DOA) estimation using sensor arrays increases very rapidly with the number of channels. The polynomial-rooting version of multiple signal classification algorithm (root-MUSIC) is computationally more efficient than spectral MUSIC. However, this algorithm can only be applied to uniform linear arrays. The manifold separation technique allows arrays of any geometry to be used with fast DOA estimators designed for linear arrays. In this study, a DOA estimation method that uses manifold separation and polynomial rooting technique is presented for monostatic MIMO radar with arbitrary array configuration. The algorithm offers a low computation complexity and an improved resolution capability for closely spaced sources as compared to conventional spectral MUSIC. Moreover, the wavefield modelling for monostatic MIMO radar and the number of mode selection of the proposed method are also analysed in the study. Finally, the simulation results are presented and the performances of the proposed algorithm are investigated and discussed.
机译:与具有单个发射天线的其他系统相比,多输入多输出(MIMO)雷达系统具有额外的自由度,可以提高空间分辨率,改善参数可识别性并增强发射波束方向图设计的灵活性。使用传感器阵列的到达方向(DOA)估计的计算复杂度随着通道数量的增加而迅速增加。多信号分类算法的多项式根版本(root-MUSIC)在计算上比频谱MUSIC更有效。但是,该算法只能应用于均匀线性阵列。流形分离技术允许将任何几何形状的阵列与为线性阵列设计的快速DOA估计器一起使用。在这项研究中,提出了一种使用流形分离和多项式求根技术的DOA估计方法,用于具有任意阵列配置的单基地MIMO雷达。与传统的频谱MUSIC相比,该算法为近距离信号源提供了低计算复杂度和改进的分辨能力。此外,还研究了单基地MIMO雷达的波场建模和所提方法的模式选择数量。最后,给出了仿真结果,并研究和讨论了该算法的性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号