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The node localization is a key technology for WSN. The accuracy localization results can be achieved in ideal environment. However, the measurement may be contaminated by NLOS errors in rough environment. The NLOS errors could result in big localization error. To overcome this problem, we present a mobile node localization algorithm using TDOA and RSS measurements. The proposed method is based on Kalman framework and utilizes the general likelihood ratio method to identify the propagation condition. Then the modified variational Bayesian approximation adaptive Kalman filtering is used to mitigate the NLOS error. It could estimate the mean and variance of measurement error. The simulation results demonstrate that the proposed method outperforms the other methods such as Kalman filter and [Formula: see text] filter. <\/jats:p>","DOI":"10.1155\/2015\/841462","type":"journal-article","created":{"date-parts":[[2015,5,28]],"date-time":"2015-05-28T11:34:30Z","timestamp":1432812870000},"page":"841462","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":10,"title":["A Kalman Framework Based Mobile Node Localization in Rough Environment Using Wireless Sensor Network"],"prefix":"10.1177","volume":"11","author":[{"given":"Hao","family":"Chu","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, Northeastern University, Shenyang 110819, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng-dong","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Northeastern University, Shenyang 110819, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2015,5,27]]},"reference":[{"key":"B1-2015-841462","doi-asserted-by":"publisher","DOI":"10.1109\/jsen.2012.2213337"},{"key":"B2-2015-841462","doi-asserted-by":"publisher","DOI":"10.1109\/tpds.2011.105"},{"key":"B3-2015-841462","doi-asserted-by":"publisher","DOI":"10.1007\/s11431-011-4351-y"},{"key":"B4-2015-841462","doi-asserted-by":"publisher","DOI":"10.1145\/2632150"},{"key":"B5-2015-841462","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-014-0511-1"},{"key":"B6-2015-841462","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-010-0231-0"},{"key":"B7-2015-841462","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2011.262"},{"key":"B8-2015-841462","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2013.139"},{"key":"B9-2015-841462","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2013.6"},{"key":"B11-2015-841462","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2013.10.008"},{"key":"B12-2015-841462","doi-asserted-by":"publisher","DOI":"10.1587\/elex.8.1829"},{"key":"B13-2015-841462","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2006.04747"},{"key":"B14-2015-841462","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2008.928649"},{"key":"B15-2015-841462","doi-asserted-by":"publisher","DOI":"10.1109\/tsp.2011.2138702"},{"key":"B16-2015-841462","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2014.07.008"},{"key":"B17-2015-841462","doi-asserted-by":"publisher","DOI":"10.1109\/wpnc.2009.4907804"},{"key":"B18-2015-841462","doi-asserted-by":"publisher","DOI":"10.1109\/tie.2011.2151821"},{"key":"B19-2015-841462","doi-asserted-by":"publisher","DOI":"10.5772\/52754"},{"first-page":"1583","volume-title":"Proceedings of the 48th IEEE Vehicular Technology Conference (VTC '98)","author":"Borras J.","key":"B20-2015-841462"},{"key":"B21-2015-841462","doi-asserted-by":"publisher","DOI":"10.1109\/tac.2008.2008348"},{"key":"B22-2015-841462","doi-asserted-by":"publisher","DOI":"10.1109\/taes.2011.5705702"},{"key":"B24-2015-841462","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2009.2028383"}],"container-title":["International Journal of Distributed Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1155\/2015\/841462","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/full-xml\/10.1155\/2015\/841462","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1155\/2015\/841462","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T21:51:25Z","timestamp":1620251485000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.sagepub.com\/doi\/10.1155\/2015\/841462"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5,1]]},"references-count":22,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2015,5,1]]}},"alternative-id":["10.1155\/2015\/841462"],"URL":"https:\/\/doi.org\/10.1155\/2015\/841462","relation":{},"ISSN":["1550-1477","1550-1477"],"issn-type":[{"type":"print","value":"1550-1477"},{"type":"electronic","value":"1550-1477"}],"subject":[],"published":{"date-parts":[[2015,5,1]]}}}