基于两个平行中心对称展开单素数阵列的三维近场源定位

IF 10.7 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Hua Chen;Junjie Li;Songjie Yang;Wei Liu;Yonina C. Eldar;Chau Yuen
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引用次数: 0

摘要

大多数近场定位算法不能处理欠确定情况,而那些可以处理欠确定情况的算法由于使用四阶累积量而计算成本很高。在这项工作中,通过采用二阶统计量和定制的阵列配置(称为两个并行中央对称展开协素数(TPSC)阵列),为欠确定的三维(3-D) NF定位提供了一种低复杂性的解决方案。其实施可分为三个阶段。该算法首先基于接收到的阵列数据构建两个互相关矩阵,消除了NF信号的非线性距离相关信息;其次,对这两个互相关矩阵进行协方差和矢量化运算,形成具有扩展孔径的虚拟阵列;最后,通过稀疏参数化方法(SPA)和相位恢复运算估计二维(2-D)角度参数,然后通过多信号分类(MUSIC)算法获得一维(1-D)距离参数。一个具体的特点是,估计的角度和距离参数是自动匹配的。对TPSC阵列的特性进行了分析,并在阵列元素总数固定的情况下导出了最优参数配置。仿真结果表明,所设计的TPSC阵列能够实现欠确定的三维NF定位,并提供了比现有算法更强的估计能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Near-Field Source Localization in 3-D Using Two Parallel Centrally Symmetric Unfold Coprime Array
Most near-field (NF) localization algorithms cannot deal with the underdetermined case, while those which can are computationally expensive due to employment of fourth-order cumulants. In this work, a low-complexity solution is provided for underdetermined three-dimensional (3-D) NF localization, by employing second-order statistics with a tailored array configuration named two parallel centrally symmetric unfold coprime (TPSC) array. Its implementation can be divided into three stages. Firstly, the proposed algorithm constructs two cross-correlation matrices based on the received array data, which eliminates the non-linear range-related information of NF signals. Secondly, covariance and vectorization operations are applied to these two cross-correlation matrices to form a virtual array with extended aperture. Finally, the two-dimensional (2-D) angle parameters are estimated by the sparse and parametric approach (SPA) and a phase retrieval operation, and then the one-dimensional (1-D) range parameter is achieved by the multiple signal classification (MUSIC) algorithm. One specific feature is that the estimated angle and range parameters are matched automatically. An analysis of the properties of the TPSC array is provided, and an optimal parameter configuration is derived, given that the total number of array elements is fixed. Simulation results demonstrate that the designed TPSC array can achieve underdetermined 3-D NF localization, and deliver enhanced estimation capabilities, surpassing those of established algorithms.
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来源期刊
CiteScore
18.60
自引率
10.60%
发文量
708
审稿时长
5.6 months
期刊介绍: The IEEE Transactions on Wireless Communications is a prestigious publication that showcases cutting-edge advancements in wireless communications. It welcomes both theoretical and practical contributions in various areas. The scope of the Transactions encompasses a wide range of topics, including modulation and coding, detection and estimation, propagation and channel characterization, and diversity techniques. The journal also emphasizes the physical and link layer communication aspects of network architectures and protocols. The journal is open to papers on specific topics or non-traditional topics related to specific application areas. This includes simulation tools and methodologies, orthogonal frequency division multiplexing, MIMO systems, and wireless over optical technologies. Overall, the IEEE Transactions on Wireless Communications serves as a platform for high-quality manuscripts that push the boundaries of wireless communications and contribute to advancements in the field.
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