Symmetric Double-Supplemented Nested Array for Passive Localization of Mixed Near-Field and Far-Field Sources

In mixed-field source localization, the physical properties of a sensor array, such as the degrees of freedom (DOFs), aperture, and coupling leakage, directly affect the accuracy of estimating the direction of arrival (DOA). Compared to conventional symmetric uniform linear arrays, symmetric non-uni...

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Main Authors: Yichen Wu, Junwei Qi, Ying-Zhen Wang, Yingsong Li
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/16/6/1027
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author Yichen Wu
Junwei Qi
Ying-Zhen Wang
Yingsong Li
author_facet Yichen Wu
Junwei Qi
Ying-Zhen Wang
Yingsong Li
author_sort Yichen Wu
collection DOAJ
description In mixed-field source localization, the physical properties of a sensor array, such as the degrees of freedom (DOFs), aperture, and coupling leakage, directly affect the accuracy of estimating the direction of arrival (DOA). Compared to conventional symmetric uniform linear arrays, symmetric non-uniform linear arrays (SNLAs) have a greater advantage in mixed-field source localization due to their larger aperture and higher DOF. However, current SNLAs require improvements in their physical properties through modifications to the array structure in order to achieve more accurate source localization estimates. Therefore, this study proposes a symmetric double-supplemented nested array (SDSNA), which translates nested subarrays based on symmetric nested arrays to increase the aperture and inserts two symmetric supplemented subarrays to fill the holes created by the translation. This method results in longer consecutive difference coarray lags and larger apertures. The SDSNA is compared to existing advanced SNLAs in terms of their physical properties and DOA estimation. The results show that, with the same number of sensors, the SDSNA has a higher DOF, a larger aperture, and smaller coupling, indicating the advantages of the SDSNA in terms of its physical properties. Under the same experimental conditions, the SDSNA has a lower root-mean-square error of source location, thus indicating better performance in terms of both DOA and distance estimation.
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spelling doaj.art-36a9ae71a75244c8b8a36c2eef5c24862024-03-27T14:02:39ZengMDPI AGRemote Sensing2072-42922024-03-01166102710.3390/rs16061027Symmetric Double-Supplemented Nested Array for Passive Localization of Mixed Near-Field and Far-Field SourcesYichen Wu0Junwei Qi1Ying-Zhen Wang2Yingsong Li3Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information, Harbin 150001, ChinaKey Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information, Harbin 150001, ChinaKey Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information, Harbin 150001, ChinaKey Laboratory of Intelligent Computing and Signal Processing Ministry of Education, Anhui University, Hefei 230039, ChinaIn mixed-field source localization, the physical properties of a sensor array, such as the degrees of freedom (DOFs), aperture, and coupling leakage, directly affect the accuracy of estimating the direction of arrival (DOA). Compared to conventional symmetric uniform linear arrays, symmetric non-uniform linear arrays (SNLAs) have a greater advantage in mixed-field source localization due to their larger aperture and higher DOF. However, current SNLAs require improvements in their physical properties through modifications to the array structure in order to achieve more accurate source localization estimates. Therefore, this study proposes a symmetric double-supplemented nested array (SDSNA), which translates nested subarrays based on symmetric nested arrays to increase the aperture and inserts two symmetric supplemented subarrays to fill the holes created by the translation. This method results in longer consecutive difference coarray lags and larger apertures. The SDSNA is compared to existing advanced SNLAs in terms of their physical properties and DOA estimation. The results show that, with the same number of sensors, the SDSNA has a higher DOF, a larger aperture, and smaller coupling, indicating the advantages of the SDSNA in terms of its physical properties. Under the same experimental conditions, the SDSNA has a lower root-mean-square error of source location, thus indicating better performance in terms of both DOA and distance estimation.https://www.mdpi.com/2072-4292/16/6/1027non-uniform linear array designarray signal processingpassive localization of mixed sources
spellingShingle Yichen Wu
Junwei Qi
Ying-Zhen Wang
Yingsong Li
Symmetric Double-Supplemented Nested Array for Passive Localization of Mixed Near-Field and Far-Field Sources
Remote Sensing
non-uniform linear array design
array signal processing
passive localization of mixed sources
title Symmetric Double-Supplemented Nested Array for Passive Localization of Mixed Near-Field and Far-Field Sources
title_full Symmetric Double-Supplemented Nested Array for Passive Localization of Mixed Near-Field and Far-Field Sources
title_fullStr Symmetric Double-Supplemented Nested Array for Passive Localization of Mixed Near-Field and Far-Field Sources
title_full_unstemmed Symmetric Double-Supplemented Nested Array for Passive Localization of Mixed Near-Field and Far-Field Sources
title_short Symmetric Double-Supplemented Nested Array for Passive Localization of Mixed Near-Field and Far-Field Sources
title_sort symmetric double supplemented nested array for passive localization of mixed near field and far field sources
topic non-uniform linear array design
array signal processing
passive localization of mixed sources
url https://www.mdpi.com/2072-4292/16/6/1027
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AT junweiqi symmetricdoublesupplementednestedarrayforpassivelocalizationofmixednearfieldandfarfieldsources
AT yingzhenwang symmetricdoublesupplementednestedarrayforpassivelocalizationofmixednearfieldandfarfieldsources
AT yingsongli symmetricdoublesupplementednestedarrayforpassivelocalizationofmixednearfieldandfarfieldsources