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Symmetric Displaced Coprime Array Configurations for Mixed Near- and Far-Field Source Localization

机译:用于混合近端和远场源定位的对称流离型的FopRime阵列配置

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Conventionally, mixed near-field (NF) and far-field (FF) source localization is performed using a symmetric uniform linear array (ULA). Recently, two symmetric nonuniform linear arrays (NLAs), symmetric nested array (SNA) and compressed SNA (CSNA), have been developed to enhance the positioning performance by their advantages in the degrees of freedom and the array aperture over symmetric ULAs. In this article, we devise a new symmetric NLA, termed symmetric displaced coprime array (SDCA), to locate the NF and FF sources simultaneously. The SDCA configuration consists of three sparse ULAs with a certain displacement, implying there are two displaced coprime arrays with one common subarray. For a given number of sensors, the SDCA configuration is solely determined by a closed-form expression and its consecutive coarray ranges can also be analytically computed. In addition, we derive two optimum SDCA configurations by maximizing the number of the unique and consecutive lags in the difference coarray. Compared with the SNA and the CSNA, the SDCA provides more unique and consecutive virtual sensors, as well as a larger physical array aperture. Numerical experiments are presented to verify the superiorities of the SDCA configuration over the existing symmetric NLAs.
机译:传统上,使用对称均匀的线性阵列(ULA)来执行混合近场(NF)和远场(FF)源定位。最近,已经开发了两个对称的非均匀线性阵列(NLA),对称嵌套阵列(SNA)和压缩的SNA(CSNA),以通过它们在对称ULAS上的自由度和阵列孔径中提高定位性能。在本文中,我们设计了一个新的对称NLA,称为对称的对称的CopRime阵列(SDCA),以同时定位NF和FF源。 SDCA配置由三个稀疏的ULAS组成,具有一定位移,暗示有两个具有一个共同子阵列的流离失所的Coprime阵列。对于给定数量的传感器,SDCA配置仅由闭合形式表达确定,并且其连续的Coarray范围也可以分析计算。此外,我们通过最大化差异COARRAY中的唯一和连续滞后的数量来推导出两个最佳的SDCA配置。与SNA和CSNA相比,SDCA提供了更独特和连续的虚拟传感器,以及更大的物理阵列孔径。提出了数值实验以验证现有对称NLAS上的SDCA配置的优势。

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