Dynamic base stations selection method for passive location based on GDOP
For the problem of passive location in mobile cellular network, base stations (BSs) selection can improve positioning accuracy. Through the analysis of base station layout in cellular networks, using Geometric Dilution of Precision (GDOP) as the optimization objective, we propose a Dynamic Base Stat...
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| Veröffentlicht in: | PloS one 2022-12, Vol.17 (12), p.e0272487-e0272487 |
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| description | For the problem of passive location in mobile cellular network, base stations (BSs) selection can improve positioning accuracy. Through the analysis of base station layout in cellular networks, using Geometric Dilution of Precision (GDOP) as the optimization objective, we propose a Dynamic Base Stations Selection (DBSS) method in a cellular unit. This method enables the system to dynamically select the positioning base station when positioning target in the detection area. DBSS mainly include three steps: nearest base station calculation, layout of base stations analysis, and base station selection based on the target location. We mainly focus on the derivation of four-base station dynamic selection (DBSS4) and five-base station dynamic selection (DBSS5) algorithms. In simulation experiments, DBSS4 algorithm and DBSS5algorithm were compared with the state-of-the-art of BSs selection methods. The results show that our proposed method can achieve the exhaustive search in cellular cells and reduce more than 20% of the GDOP cumulative positioning error compared with the fixed four-base station selection algorithm. Meanwhile, the proposed method is more efficient, requires less running time and floating-point operations (FLOPs) than other comparison algorithm, and is independent of localization algorithms. |
| doi_str_mv | 10.1371/journal.pone.0272487 |
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Through the analysis of base station layout in cellular networks, using Geometric Dilution of Precision (GDOP) as the optimization objective, we propose a Dynamic Base Stations Selection (DBSS) method in a cellular unit. This method enables the system to dynamically select the positioning base station when positioning target in the detection area. DBSS mainly include three steps: nearest base station calculation, layout of base stations analysis, and base station selection based on the target location. We mainly focus on the derivation of four-base station dynamic selection (DBSS4) and five-base station dynamic selection (DBSS5) algorithms. In simulation experiments, DBSS4 algorithm and DBSS5algorithm were compared with the state-of-the-art of BSs selection methods. The results show that our proposed method can achieve the exhaustive search in cellular cells and reduce more than 20% of the GDOP cumulative positioning error compared with the fixed four-base station selection algorithm. Meanwhile, the proposed method is more efficient, requires less running time and floating-point operations (FLOPs) than other comparison algorithm, and is independent of localization algorithms.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0272487</identifier><identifier>PMID: 36508479</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accuracy ; Algorithms ; Analysis ; Biology and Life Sciences ; Boolean ; Cellular communication ; Communication ; Computer Simulation ; Engineering and Technology ; Experiments ; Floating point arithmetic ; Geometric dilution of precision ; Internet of Things ; Layouts ; Localization ; Management ; Mean square errors ; Mobile communication systems ; Optimization ; Physical Sciences ; Radio equipment ; Research and Analysis Methods ; Sensors ; Signal to noise ratio ; Simulation ; Smartphones ; Target detection ; Wireless communication systems</subject><ispartof>PloS one, 2022-12, Vol.17 (12), p.e0272487-e0272487</ispartof><rights>Copyright: © 2022 Miao et al. 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Through the analysis of base station layout in cellular networks, using Geometric Dilution of Precision (GDOP) as the optimization objective, we propose a Dynamic Base Stations Selection (DBSS) method in a cellular unit. This method enables the system to dynamically select the positioning base station when positioning target in the detection area. DBSS mainly include three steps: nearest base station calculation, layout of base stations analysis, and base station selection based on the target location. We mainly focus on the derivation of four-base station dynamic selection (DBSS4) and five-base station dynamic selection (DBSS5) algorithms. In simulation experiments, DBSS4 algorithm and DBSS5algorithm were compared with the state-of-the-art of BSs selection methods. The results show that our proposed method can achieve the exhaustive search in cellular cells and reduce more than 20% of the GDOP cumulative positioning error compared with the fixed four-base station selection algorithm. Meanwhile, the proposed method is more efficient, requires less running time and floating-point operations (FLOPs) than other comparison algorithm, and is independent of localization algorithms.</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Boolean</subject><subject>Cellular communication</subject><subject>Communication</subject><subject>Computer Simulation</subject><subject>Engineering and Technology</subject><subject>Experiments</subject><subject>Floating point arithmetic</subject><subject>Geometric dilution of precision</subject><subject>Internet of Things</subject><subject>Layouts</subject><subject>Localization</subject><subject>Management</subject><subject>Mean square errors</subject><subject>Mobile communication systems</subject><subject>Optimization</subject><subject>Physical Sciences</subject><subject>Radio equipment</subject><subject>Research and Analysis 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Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Miao, Sheng</au><au>Dong, Liang</au><au>Hou, Jingyu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic base stations selection method for passive location based on GDOP</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2022-12-12</date><risdate>2022</risdate><volume>17</volume><issue>12</issue><spage>e0272487</spage><epage>e0272487</epage><pages>e0272487-e0272487</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>For the problem of passive location in mobile cellular network, base stations (BSs) selection can improve positioning accuracy. Through the analysis of base station layout in cellular networks, using Geometric Dilution of Precision (GDOP) as the optimization objective, we propose a Dynamic Base Stations Selection (DBSS) method in a cellular unit. This method enables the system to dynamically select the positioning base station when positioning target in the detection area. DBSS mainly include three steps: nearest base station calculation, layout of base stations analysis, and base station selection based on the target location. We mainly focus on the derivation of four-base station dynamic selection (DBSS4) and five-base station dynamic selection (DBSS5) algorithms. In simulation experiments, DBSS4 algorithm and DBSS5algorithm were compared with the state-of-the-art of BSs selection methods. The results show that our proposed method can achieve the exhaustive search in cellular cells and reduce more than 20% of the GDOP cumulative positioning error compared with the fixed four-base station selection algorithm. Meanwhile, the proposed method is more efficient, requires less running time and floating-point operations (FLOPs) than other comparison algorithm, and is independent of localization algorithms.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>36508479</pmid><doi>10.1371/journal.pone.0272487</doi><tpages>e0272487</tpages><orcidid>https://orcid.org/0000-0002-2179-9144</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Accuracy Algorithms Analysis Biology and Life Sciences Boolean Cellular communication Communication Computer Simulation Engineering and Technology Experiments Floating point arithmetic Geometric dilution of precision Internet of Things Layouts Localization Management Mean square errors Mobile communication systems Optimization Physical Sciences Radio equipment Research and Analysis Methods Sensors Signal to noise ratio Simulation Smartphones Target detection Wireless communication systems |
| title | Dynamic base stations selection method for passive location based on GDOP |
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