{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T07:53:07Z","timestamp":1767772387840,"version":"3.41.2"},"reference-count":24,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,8,15]],"date-time":"2021-08-15T00:00:00Z","timestamp":1628985600000},"content-version":"vor","delay-in-days":226,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Wireless Communications and Mobile Computing"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>Given the problem that the existing method of station distributing the pseudosatellite system cannot ensure both its coverage and position in a situation of signal occlusion, it proposed a new stationary layout method with an elite strategy for a ground\u2010based pseudosatellite positioning system based on the elite strategy of the nondominant genetic rankings (NSGA\u2010II). The geometrical design of the pseudosatellite system is calculated by visual domain analysis and precision factors for the signal coverage age and base station. To optimize the algorithm, the NSGA\u2010II algorithm is used. An earth pseudosatellite positioning system method of stationary distribution is obtained that simultaneously optimizes signal coverage and positioning accuracy. The algorithm is better distributed and has a certain superintendence compared with the traditional genetic algorithm.<\/jats:p>","DOI":"10.1155\/2021\/1520859","type":"journal-article","created":{"date-parts":[[2021,8,16]],"date-time":"2021-08-16T05:28:27Z","timestamp":1629091707000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Research on the Station Layout Method of Ground\u2010Based Pseudolite Positioning System Based on NSGA\u2010II Algorithm"],"prefix":"10.1155","volume":"2021","author":[{"given":"Li","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2844-3810","authenticated-orcid":false,"given":"Kaiyuan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danshi","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,8,15]]},"reference":[{"key":"e_1_2_8_1_2","doi-asserted-by":"crossref","unstructured":"CaiM. HeF. andWuL. Application of UKF algorithm for target tracking in DTV-based passive radar 2009 2nd International Congress on Image and Signal Processing 2009 Tianjin China 1\u20134.","DOI":"10.1109\/CISP.2009.5304230"},{"key":"e_1_2_8_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.electacta.2016.06.042"},{"key":"e_1_2_8_3_2","unstructured":"BouskaT. J. RaquetJ. F. andMaybeckP. S. The use of optimal smoothing and nonlinear filtering in pseudolite-based positioning systems Proceedings of the 59th Annual Meeting of The Institute of Navigation and CIGTF 22nd Guidance Test Symposium 2003 Albuquerque NM 435\u2013443."},{"key":"e_1_2_8_4_2","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMM.347-350.729"},{"key":"e_1_2_8_5_2","doi-asserted-by":"publisher","DOI":"10.3390\/s21041129"},{"key":"e_1_2_8_6_2","doi-asserted-by":"publisher","DOI":"10.52810\/TPRIS.2021.100034"},{"key":"e_1_2_8_7_2","first-page":"1","article-title":"Visual object tracking based on residual network and cascaded correlation filters","author":"Zhang J.","year":"2020","journal-title":"Journal of Ambient Intelligence and Humanized Computing"},{"key":"e_1_2_8_8_2","doi-asserted-by":"publisher","DOI":"10.52810\/TIOT.2021.100026"},{"key":"e_1_2_8_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12243-019-00731-9"},{"key":"e_1_2_8_10_2","doi-asserted-by":"publisher","DOI":"10.52810\/TIOT.2021.100030"},{"key":"e_1_2_8_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.displa.2021.102053"},{"key":"e_1_2_8_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2019.2963873"},{"key":"e_1_2_8_13_2","doi-asserted-by":"publisher","DOI":"10.52810\/TPRIS.2021.100005"},{"key":"e_1_2_8_14_2","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/9962057"},{"key":"e_1_2_8_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3066240"},{"key":"e_1_2_8_16_2","first-page":"15","article-title":"K algorithm for microstrip peocessor design","volume":"1","author":"Zhongxiang Z.","year":"2021","journal-title":"ASP Transactions on Neural Information Computing"},{"key":"e_1_2_8_17_2","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/8517161"},{"key":"e_1_2_8_18_2","first-page":"22","article-title":"DSP for condition monitoring equipment in real-time","volume":"1","author":"Li L.","year":"2021","journal-title":"ASP Transactions on Neural Information Computing"},{"key":"e_1_2_8_19_2","doi-asserted-by":"publisher","DOI":"10.1002\/navi.383"},{"key":"e_1_2_8_20_2","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMM.716-717.1451"},{"key":"e_1_2_8_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2020.104951"},{"key":"e_1_2_8_22_2","doi-asserted-by":"crossref","unstructured":"SituB.andJinW. Optimization model for the vehicle scheduling problem in public transportation network 2009 International Conference on Management and Service Science 2009 Beijing China 1\u20134.","DOI":"10.1109\/ICMSS.2009.5300856"},{"key":"e_1_2_8_23_2","doi-asserted-by":"crossref","unstructured":"AhmedU. LinJ. C. WuJ. M. DjenouriY. SrivastavaG. andMukhiyaS. K. Efficient mining of Pareto-front high expected utility patterns International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems 2020 Cham 872\u2013883.","DOI":"10.1007\/978-3-030-55789-8_74"},{"key":"e_1_2_8_24_2","first-page":"544","article-title":"Optimization analysis of GDOP of PL-aided navigation and positioning system","volume":"239","author":"Gong C. Q.","year":"2013","journal-title":"Applied Mechanics & Materials"}],"container-title":["Wireless Communications and Mobile Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2021\/1520859.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2021\/1520859.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/1520859","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T11:52:22Z","timestamp":1723031542000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/1520859"}},"subtitle":[],"editor":[{"given":"Yuanpeng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":24,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/1520859"],"URL":"https:\/\/doi.org\/10.1155\/2021\/1520859","archive":["Portico"],"relation":{},"ISSN":["1530-8669","1530-8677"],"issn-type":[{"type":"print","value":"1530-8669"},{"type":"electronic","value":"1530-8677"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2021-06-28","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-07-27","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-08-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"1520859"}}