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In this paper, we propose a Wi\u2010Fi fingerprint\u2010based indoor mobile user localization method that integrates a stacked improved sparse autoencoder (SISAE) and a recurrent neural network (RNN). We improve the sparse autoencoder by adding an activity penalty term in its loss function to control the neuron outputs in the hidden layer. The encoders of three improved sparse autoencoders are stacked to obtain high\u2010level feature representations of received signal strength (RSS) vectors, and an SISAE is constructed for localization by adding a logistic regression layer as the output layer to the stacked encoders. Meanwhile, using the previous location coordinates computed by the trained SISAE as extra inputs, an RNN is employed to compute more accurate current location coordinates for mobile users. The experimental results demonstrate that the mean error of the proposed SISAE\u2010RNN for mobile user localization can be reduced to 1.60\u2009m.<\/jats:p>","DOI":"10.1155\/2021\/6660990","type":"journal-article","created":{"date-parts":[[2021,1,9]],"date-time":"2021-01-09T12:09:08Z","timestamp":1610194148000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Wi\u2010Fi Fingerprint\u2010Based Indoor Mobile User Localization Using Deep Learning"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9686-4502","authenticated-orcid":false,"given":"Junhang","family":"Bai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0642-1557","authenticated-orcid":false,"given":"Yongliang","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weixiao","family":"Meng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,1,8]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/5710834"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2947435"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2847731"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1900737"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2016.1500177WC"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/lsens.2018.2789934"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-017-0941-0"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2841842"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/4201367"},{"key":"e_1_2_9_10_2","first-page":"1409","article-title":"Scheduling in cooperative UWB localization networks using round trip measurements","volume":"20","author":"Song L.","year":"2016","journal-title":"IEEE Communications Letters"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2650953"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2016.2632427"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1049\/el.2015.2403"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2951022"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2017.2715820"},{"key":"e_1_2_9_16_2","doi-asserted-by":"crossref","unstructured":"LeD. 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