...
首页> 外文期刊>Signal processing >CRB analysis of planar antenna arrays for optimizing near-field source localization
【24h】

CRB analysis of planar antenna arrays for optimizing near-field source localization

机译:平面天线阵列的CRB分析以优化近场源定位

获取原文
获取原文并翻译 | 示例

摘要

This paper focuses on the Cramer Rao bound (CRB) of the azimuth, elevation and range with planar arrays for narrowband near-field source localization, using the exact expression of the time delay. Specifically, the aim of this paper is twofold. First, we derive explicit non-matrix closed-form expressions of approximations of these three CRBs. Second, we use these expressions to optimize near-field source localization. For deriving these expressions, we introduce conditions on the array geometry that allow us to decouple the azimuth, elevation and range parameters to a certain order in X/r (in which X and r denote the wavelength and the range, respectively). A particular attention is given to the popular array configurations which are the concentric uniform circular-based arrays, cross and square-based centro-symmetric arrays which satisfy these conditions. In order to control directions of arrivals (DOA) ambiguity, we propose a new criterion, which allows us to design non-uniform square [resp., cross]-based centro-symmetric array configurations with improved near-field range estimation capabilities without deteriorating the DOA precisions w.r.t. uniform square [resp., cross]-based arrays. Finally, we specify the accuracy of our proposed approximated CRBs'expressions and isotropy's conditions w.r.t. the range and the number of sensors.
机译:本文使用时延的精确表达式,重点研究了平面阵列的方位角,仰角和范围的Cramer Rao边界(CRB),用于窄带近场源定位。具体而言,本文的目的是双重的。首先,我们得出这三个CRB近似值的显式非矩阵闭合形式表达式。其次,我们使用这些表达式来优化近场源定位。为了推导这些表达式,我们在阵列几何上引入了条件,这些条件使我们能够将方位角,仰角和范围参数解耦为X / r的特定顺序(其中X和r分别表示波长和范围)。特别注意流行的阵列配置,它们是满足这些条件的同心均匀的基于圆形的阵列,基于十字和正方形的中心对称阵列。为了控制到达方向(DOA)的歧义性,我们提出了一个新的标准,该标准允许我们设计具有改进的近场范围估计能力而不会恶化的基于非均方平方(基于交叉)的中心对称阵列配置DOA精度统一的方形[resp。,cross]基数组。最后,我们指定拟议的近似CRB表达式和各向同性条件w.r.t的准确性。传感器的范围和数量。

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