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Direct Position Determination of Non-Circular Sources for Multiple Arrays via Weighted Euler ESPRIT Data Fusion Method
In recent years, direct position determination (DPD) with multiple arrays for non-circular (NC) signals is a hot topic to research. Conventional DPD techniques with spectral peak search methods have high computational complexity and are sensitive to the locations of the observation stations. Besides...
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Published in: | Applied sciences 2022-03, Vol.12 (5), p.2503 |
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description | In recent years, direct position determination (DPD) with multiple arrays for non-circular (NC) signals is a hot topic to research. Conventional DPD techniques with spectral peak search methods have high computational complexity and are sensitive to the locations of the observation stations. Besides, there will be loss when the signal propagates in the air, which leads to different received signal-to-noise ratios (SNRs) for each observation station. To attack the problems mentioned above, this paper derives direct position determination of non-circular sources for multiple arrays via weighted Euler estimating signal parameters viarotational invariance techniques (ESPRIT) data fusion (NC-Euler-WESPRIT) method. Firstly, elliptic covariance information of NC signals and Euler transformation are used to extend the received signal. Secondly, ESPRIT is applied to avoid the high-dimensional spectral function search problem of each observation station. Then, we combine the information of all observation stations to construct a spectral function without complex multiplication to reduce the computational complexity. Finally, the data of each observation station is weighted to compensate for the projection error. The consequence of simulation indicates that the proposed NC-Euler-WESPRIT algorithm not only improves the estimation performance, but also greatly reduces the computational complexity compared with subspace data fusion (SDF) technology and NC-ESPRIT algorithm. |
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Conventional DPD techniques with spectral peak search methods have high computational complexity and are sensitive to the locations of the observation stations. Besides, there will be loss when the signal propagates in the air, which leads to different received signal-to-noise ratios (SNRs) for each observation station. To attack the problems mentioned above, this paper derives direct position determination of non-circular sources for multiple arrays via weighted Euler estimating signal parameters viarotational invariance techniques (ESPRIT) data fusion (NC-Euler-WESPRIT) method. Firstly, elliptic covariance information of NC signals and Euler transformation are used to extend the received signal. Secondly, ESPRIT is applied to avoid the high-dimensional spectral function search problem of each observation station. Then, we combine the information of all observation stations to construct a spectral function without complex multiplication to reduce the computational complexity. Finally, the data of each observation station is weighted to compensate for the projection error. The consequence of simulation indicates that the proposed NC-Euler-WESPRIT algorithm not only improves the estimation performance, but also greatly reduces the computational complexity compared with subspace data fusion (SDF) technology and NC-ESPRIT algorithm.</description><identifier>ISSN: 2076-3417</identifier><identifier>EISSN: 2076-3417</identifier><identifier>DOI: 10.3390/app12052503</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Algorithms ; Arrays ; Computer applications ; Data integration ; direct position determination ; Euler transformation ; Localization ; multiple arrays ; Multiplication ; Noise ; non-circular sources ; Search methods ; Signal processing ; Simulation ; Spectra ; weighted</subject><ispartof>Applied sciences, 2022-03, Vol.12 (5), p.2503</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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Conventional DPD techniques with spectral peak search methods have high computational complexity and are sensitive to the locations of the observation stations. Besides, there will be loss when the signal propagates in the air, which leads to different received signal-to-noise ratios (SNRs) for each observation station. To attack the problems mentioned above, this paper derives direct position determination of non-circular sources for multiple arrays via weighted Euler estimating signal parameters viarotational invariance techniques (ESPRIT) data fusion (NC-Euler-WESPRIT) method. Firstly, elliptic covariance information of NC signals and Euler transformation are used to extend the received signal. Secondly, ESPRIT is applied to avoid the high-dimensional spectral function search problem of each observation station. Then, we combine the information of all observation stations to construct a spectral function without complex multiplication to reduce the computational complexity. 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The consequence of simulation indicates that the proposed NC-Euler-WESPRIT algorithm not only improves the estimation performance, but also greatly reduces the computational complexity compared with subspace data fusion (SDF) technology and NC-ESPRIT algorithm.</description><subject>Algorithms</subject><subject>Arrays</subject><subject>Computer applications</subject><subject>Data integration</subject><subject>direct position determination</subject><subject>Euler transformation</subject><subject>Localization</subject><subject>multiple arrays</subject><subject>Multiplication</subject><subject>Noise</subject><subject>non-circular sources</subject><subject>Search methods</subject><subject>Signal processing</subject><subject>Simulation</subject><subject>Spectra</subject><subject>weighted</subject><issn>2076-3417</issn><issn>2076-3417</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNkU1LJDEQhhvZBUU97R8IeJTeTTrppHOUmdEd8IvVxWOoSSqaoZ20SXrAf2_riFiX-uDleYuqqvrF6G_ONf0Dw8Aa2jYt5XvVQUOVrLlg6se3er86znlNp9CMd4weVNt5SGgLuY05lBA3ZI4F03PYwEcXPbmOm3oWkh17SOQujsliJj4mcjX2JQw9krOU4DWTbQDygOHxqaAji7HHRBZ3t_-W92QOBcj5mN-JV1ieojuqfnroMx5_5sPq__nifva3vry5WM7OLmvLpSi1Yt51XHYrJzTXVq48ipW1rQAKwKUG51ZKdKhAWeEkd86pRgOj2MgOfcsPq-WO6yKszZDCM6RXEyGYj0FMjwZSCbZHox2A9pJPlq2goLTXQlLWSarBqwYm1smONaT4MmIuZj1dYzOtbxrJVdsJ3XST6nSnsinmnNB_uTJq3v9kvv2JvwGHnYWx</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>Shi, Xinlei</creator><creator>Zhang, Xiaofei</creator><creator>Zeng, Haowei</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-1004-386X</orcidid></search><sort><creationdate>20220301</creationdate><title>Direct Position Determination of Non-Circular Sources for Multiple Arrays via Weighted Euler ESPRIT Data Fusion Method</title><author>Shi, Xinlei ; Zhang, Xiaofei ; Zeng, Haowei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-71fd8368bd4939c6bfe4bcc54a0aa369addb748e7a7c4d63ddd729a10e268ef53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Arrays</topic><topic>Computer applications</topic><topic>Data integration</topic><topic>direct position determination</topic><topic>Euler transformation</topic><topic>Localization</topic><topic>multiple arrays</topic><topic>Multiplication</topic><topic>Noise</topic><topic>non-circular sources</topic><topic>Search methods</topic><topic>Signal processing</topic><topic>Simulation</topic><topic>Spectra</topic><topic>weighted</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shi, Xinlei</creatorcontrib><creatorcontrib>Zhang, Xiaofei</creatorcontrib><creatorcontrib>Zeng, Haowei</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Applied sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shi, Xinlei</au><au>Zhang, Xiaofei</au><au>Zeng, Haowei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Direct Position Determination of Non-Circular Sources for Multiple Arrays via Weighted Euler ESPRIT Data Fusion Method</atitle><jtitle>Applied sciences</jtitle><date>2022-03-01</date><risdate>2022</risdate><volume>12</volume><issue>5</issue><spage>2503</spage><pages>2503-</pages><issn>2076-3417</issn><eissn>2076-3417</eissn><abstract>In recent years, direct position determination (DPD) with multiple arrays for non-circular (NC) signals is a hot topic to research. 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Finally, the data of each observation station is weighted to compensate for the projection error. The consequence of simulation indicates that the proposed NC-Euler-WESPRIT algorithm not only improves the estimation performance, but also greatly reduces the computational complexity compared with subspace data fusion (SDF) technology and NC-ESPRIT algorithm.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/app12052503</doi><orcidid>https://orcid.org/0000-0002-1004-386X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Arrays Computer applications Data integration direct position determination Euler transformation Localization multiple arrays Multiplication Noise non-circular sources Search methods Signal processing Simulation Spectra weighted |
title | Direct Position Determination of Non-Circular Sources for Multiple Arrays via Weighted Euler ESPRIT Data Fusion Method |
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