{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T03:05:16Z","timestamp":1761102316567,"version":"3.37.3"},"reference-count":10,"publisher":"Wiley","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"crossref","award":["2017YFB0503702"],"award-info":[{"award-number":["2017YFB0503702"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2018]]},"abstract":"<jats:p>Geomagnetic indoor positioning is an attractive indoor positioning technology due to its infrastructure-free feature. In the matching algorithm for geomagnetic indoor localization, the particle filter has been the most widely used. The algorithm however often suffers filtering divergence when there is continuous variation of the indoor magnetic distribution. The resampling step in the process of implementation would make the situation even worse, which directly lead to the loss of indoor positioning solution. Aiming at this problem, we have proposed an improved particle filter algorithm based on initial positioning error constraint, inspired by the Hausdorff distance measurement point set matching theory. Since the operating range of the particle filter cannot exceed the magnitude of the initial positioning error, it avoids the adverse effect of sampling particles with the same magnetic intensity but away from the target during the iteration process on the positioning system. The effectiveness and reliability of the improved algorithm are verified by experiments.<\/jats:p>","DOI":"10.1155\/2018\/5989678","type":"journal-article","created":{"date-parts":[[2018,3,19]],"date-time":"2018-03-19T23:32:16Z","timestamp":1521502336000},"page":"1-9","source":"Crossref","is-referenced-by-count":19,"title":["An Improved Particle Filter Algorithm for Geomagnetic Indoor Positioning"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3236-7539","authenticated-orcid":true,"given":"He","family":"Huang","sequence":"first","affiliation":[{"name":"School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China"},{"name":"Beijing Advanced Innovation Center for Future Urban Design, Beijing 100044, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6196-1310","authenticated-orcid":true,"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China"}]},{"given":"De An","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China"},{"name":"Beijing Advanced Innovation Center for Future Urban Design, Beijing 100044, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1665-7440","authenticated-orcid":true,"given":"Dong Wei","family":"Qiu","sequence":"additional","affiliation":[{"name":"School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China"},{"name":"Beijing Advanced Innovation Center for Future Urban Design, Beijing 100044, China"}]},{"given":"Yang","family":"Gao","sequence":"additional","affiliation":[{"name":"The University of Calgary, Department of Geomatics Engineering, Calgary, AB, Canada T2N 1N4"}]}],"member":"311","reference":[{"issue":"24","key":"2","first-page":"6125","volume":"12","year":"2012","journal-title":"Science Technology and Engineering"},{"issue":"2","key":"3","first-page":"721","volume":"24","year":"2009","journal-title":"Progress in Geophysics"},{"key":"4","first-page":"26","volume":"4","year":"2011","journal-title":"Aero Weaponry"},{"issue":"11","key":"5","first-page":"2724","volume":"53","year":"2010","journal-title":"Chinese Journal of Geophysics"},{"issue":"1","key":"6","first-page":"47","volume":"15","year":"2007","journal-title":"Journal of Chinese Inertial Technology"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1038\/nature01226"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2009.07.018"},{"year":"2010","key":"17"},{"key":"18","first-page":"54","volume":"2","year":"2017","journal-title":"Bulletin of Surveying and Mapping"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/1945695"}],"container-title":["Journal of Sensors"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2018\/5989678.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2018\/5989678.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2018\/5989678.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,19]],"date-time":"2020-05-19T05:02:10Z","timestamp":1589864530000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/js\/2018\/5989678\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":10,"alternative-id":["5989678","5989678"],"URL":"https:\/\/doi.org\/10.1155\/2018\/5989678","relation":{},"ISSN":["1687-725X","1687-7268"],"issn-type":[{"type":"print","value":"1687-725X"},{"type":"electronic","value":"1687-7268"}],"subject":[],"published":{"date-parts":[[2018]]}}}