利用方向矢量分解的近场及严格非圆信源三维定位

李正; 沈金清; 张小飞

doi:10.1631/FITEE.2100034

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利用方向矢量分解的近场及严格非圆信源三维定位

常规文章 | Updated：2022-05-19

- 利用方向矢量分解的近场及严格非圆信源三维定位
  Enhanced Publication
- Three-dimensional localization of near-field and strictly noncircular sources using steering vector decomposition
- 信息与电子工程前沿（英文） 2022年23卷第4期页码：644-652
- Affiliations：
  
  1.College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing211106, China
  2.Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space,Ministry of Industry and Information Technology, Nanjing211106, China
- Author bio：
  
  E-mail: lizhengjsnj@163.com;
  ‡Corresponding author
- Funds：
  
  the National Natural Science Foundation of China(61971217;61971218;61631020;61601167)
- DOI：10.1631/FITEE.2100034
  中图分类号： TN911.7
- 收稿：2021-01-19，
  
  修回：2021-06-06，
  
  纸质出版：2022-04
- Accepted：
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李正, 沈金清, 张小飞. 利用方向矢量分解的近场及严格非圆信源三维定位[J]. 信息与电子工程前沿（英文）, 2022,23(4):644-652.

LI Zheng,SHEN Jinqing,ZHANG Xiaofei.Three-dimensional localization of near-field and strictly noncircular sources using steering vector decomposition[J].Frontiers of Information Technology & Electronic Engineering,2022,23(04):644-652.
李正, 沈金清, 张小飞. 利用方向矢量分解的近场及严格非圆信源三维定位[J]. 信息与电子工程前沿（英文）, 2022,23(4):644-652. DOI： 10.1631/FITEE.2100034.

LI Zheng,SHEN Jinqing,ZHANG Xiaofei.Three-dimensional localization of near-field and strictly noncircular sources using steering vector decomposition[J].Frontiers of Information Technology & Electronic Engineering,2022,23(04):644-652. DOI： 10.1631/FITEE.2100034.

摘要

关于中心对称十字阵下近场及严格非圆信源的三维定位很少有报道。本文提出一个性能改进算法。分离方向矢量中多个参数以将方向矢量转变为若干矩阵的乘积形式，并且每个矩阵只包含一个参数。由此可以通过一个一维谱搜索来解决每个待估计参数。尽管该算法复杂度是我们之前提出算法的若干倍，然而，其关于波达方向的估计误差和分辨率估计性能得到提升，同时距离估计性能也能够保持不变。所提算法优越性在仿真结果中得到验证。

Abstract

The three-dimensional localization problem for noncircular sources in near-field with a centro-symmetric cross array is rarely studied. In this paper

we propose an algorithm with improved estimation performance. We decompose the multiple parameters of the steering vector in a specific order so that it can be converted into the products of several matrices

and each of the matrices includes only one parameter. On this basis

each parameter to be resolved can be estimated by performing a one-dimensional spatial spectral search. Although the computational complexity of the proposed algorithm is several times that of our previous algorithm

the estimation performance

including its error and resolution

with respect to the direction of arrival

is improved

and the range estimation performance can be maintained. The superiority of the proposed algorithm is verified by simulation results.

关键词

Keywords

references

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