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

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 perf...

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Veröffentlicht in:IEEE transactions on antennas and propagation Jg. 69; H. 1; S. 465 - 477
Hauptverfasser: Zheng, Zhi, Fu, Mingcheng, Wang, Wen-Qin, So, Hing Cheung
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Apertures
Array signal processing
Configurations
Difference coarray
direction-of-arrival (DOA) estimation
Direction-of-arrival estimation
Displacement
Estimation
Far fields
Linear arrays
Localization
Mathematical analysis
Noise measurement
nonuniform linear array (NLA)
Optimization
range estimation
Sensor arrays
symmetric displaced coprime array (SDCA)
Virtual sensors
ISSN:0018-926X, 1558-2221
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
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ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2020.3005203