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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2022 Vol.23 No.4 P.644-652
Three-dimensional localization of near-field and strictly noncircular sources using steering vector decomposition
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.
Key words: Localization; Centro-symmetric cross array; Noncircular sources; Near-field; Steering vector decomposition
1南京航空航天大学电子信息工程学院，中国南京市，211106
2电磁频谱空间认知动态系统工业和信息化部重点实验室，中国南京市，211106
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。
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DOI:
10.1631/FITEE.2100034
CLC number:
TN911.7
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On-line Access:
2022-04-21
Received:
2021-01-19
Revision Accepted:
2021-06-06
Crosschecked:
2022-05-04