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The magnetic field-based localization method has been an interesting research hotspot because of its temporal stability, ubiquitousness, infrastructure-free nature, and good compatibility with smartphones. However, utilizing discrete magnetic signals may result in ambiguous localization features caused by random noise and similar magnetic signals in complex symmetric and large-scale indoor environments. To address this issue, we propose a deep neural network-based fusion indoor localization system that integrates magnetic and pedestrian dead reckoning (PDR). In this system, we first propose a ResNet-GRU-LSTM neural network model to achieve magnetic localization more accurately. Afterward, we put forward a multifeatured-driven step length estimation. A hierarchy GRU (H-GRU) neural network model is proposed, and a multidimensional dataset using acceleration and a gyroscope is constructed to extract more valid characteristics. Finally, more reliable and accurate pedestrian localization can be achieved under the particle filter framework. Experiments were conducted at two trial sites with two pedestrians and four smartphones. Results demonstrate that the proposed system achieves better accuracy and robustness than other traditional localization algorithms. Moreover, the proposed system exhibits good generality and practicality in real-time localization with low cost and low computational complexity.<\/jats:p>","DOI":"10.3390\/s23218680","type":"journal-article","created":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T11:39:04Z","timestamp":1698147544000},"page":"8680","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Deep Neural Network-Based Fusion Localization Using Smartphones"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1189-6159","authenticated-orcid":false,"given":"Suqing","family":"Yan","sequence":"first","affiliation":[{"name":"Guangxi Key Laboratory of Precision Navigation Technology and Application, Guilin University of Electronic Technology, Guilin 541004, China"},{"name":"School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yalan","family":"Su","sequence":"additional","affiliation":[{"name":"School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianming","family":"Xiao","sequence":"additional","affiliation":[{"name":"Department of Science and Engineering, Guilin University, Guilin 541006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaonan","family":"Luo","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin 541004, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanfa","family":"Ji","sequence":"additional","affiliation":[{"name":"National & Local Joint Engineering Research Center of Satellite Navigation Localization and Location Service, Guilin 541004, China"},{"name":"GUET-Nanning E-Tech Research Institute Co., Ltd., Nanning 530031, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kamarul Hawari Bin","family":"Ghazali","sequence":"additional","affiliation":[{"name":"Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan 25200, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1109\/TIM.2018.2863478","article-title":"Indoor Localization on Smartphones Using Built-In Sensors and Map Constraints","volume":"68","author":"Xia","year":"2019","journal-title":"IEEE Trans. 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Proceedings of the 9th International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Republic of Korea.","DOI":"10.1109\/ICTC.2018.8539576"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Sun, M., Wang, Y.J., Xu, S.L., Cao, H.J., and Si, M.H. (2020). Indoor Positioning Integrating PDR\/Geomagnetic Positioning Based on the Genetic-Particle Filter. Appl. Sci., 10.","DOI":"10.3390\/app10020668"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2011","DOI":"10.1109\/JIOT.2020.3016146","article-title":"Pedestrian Dead Reckoning Based on Walking Pattern Recognition and Online Magnetic Fingerprint Trajectory Calibration","volume":"8","author":"Wang","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"ref_12","first-page":"1710907","article-title":"Magnetic Matching-Aided Indoor Localization System Based on a Waist-Mounted Self-Contained Sensor Array","volume":"2022","author":"Li","year":"2022","journal-title":"J. Sens."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Jin, Z., Kang, R., and Su, H. (2023). Multi-Scale Fusion Localization Based on Magnetic Trajectory Sequence. Sensors, 23.","DOI":"10.3390\/s23010449"},{"key":"ref_14","unstructured":"Subbu, K.P., Gozick, B., Dantu, R., and IEEE (2011, January 9\u201312). Indoor Localization through Dynamic Time Warping. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC), Anchorage, AK, USA."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3654","DOI":"10.1109\/TVT.2020.2977599","article-title":"MagLand: Magnetic Landmarks for Road Vehicle Localization","volume":"69","author":"Cruz","year":"2020","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"153733","DOI":"10.1016\/j.aeue.2021.153733","article-title":"An indoor multi-source fusion positioning approach based on PDR\/MM\/WiFi","volume":"135","author":"Chen","year":"2021","journal-title":"Aeu-Int. J. Electron. Commun."},{"key":"ref_17","first-page":"73","article-title":"LocateMe: Magnetic-fields-based indoor localization using smartphones","volume":"4","author":"Subbu","year":"2013","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Chen, J., Ou, G., Peng, A., Zheng, L.X., and Shi, J.H. (2019). A Hybrid Dead Reckon System Based on 3-Dimensional Dynamic Time Warping. Electronics, 8.","DOI":"10.3390\/electronics8020185"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"39959","DOI":"10.1109\/ACCESS.2020.2974901","article-title":"MeshMap: A Magnetic Field-Based Indoor Navigation System With Crowdsourcing Support","volume":"8","author":"Chen","year":"2020","journal-title":"IEEE Access"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Xie, H.W., Gu, T., Tao, X.P., Ye, H.B., Lv, J., and Assoc Comp, M. (2014, January 13\u201317). MaLoc: A Practical Magnetic Fingerprinting Approach to Indoor Localization using Smartphones. Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Seattle, WA, USA.","DOI":"10.1145\/2632048.2632057"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1109\/JSAC.2015.2430274","article-title":"Magicol: Indoor Localization Using Pervasive Magnetic Field and Opportunistic WiFi Sensing","volume":"33","author":"Shu","year":"2015","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Viset, F., Helmons, R., and Kok, M. (2022). An Extended Kalman Filter for Magnetic Field SLAM Using Gaussian Process Regression. Sensors, 22.","DOI":"10.3390\/s22082833"},{"key":"ref_23","first-page":"9502510","article-title":"Pedestrian Indoor Localization Method Based on Integrated Particle Filter","volume":"72","author":"Shi","year":"2023","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Yan, S.Q., Wu, C.P., Deng, H.G., Luo, X.N., Ji, Y.F., and Xiao, J.M. (2022). A Low-Cost and Efficient Indoor Fusion Localization Method. Sensors, 22.","DOI":"10.3390\/s22155505"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Yan, S.Q., Wu, C.P., Luo, X.A., Ji, Y.F., and Xiao, J.M. (2023). Multi-Information Fusion Indoor Localization Using Smartphones. Appl. Sci., 13.","DOI":"10.3390\/app13053270"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Tong, H.B., Xin, N., Su, X.L., Chen, T.F., and Wu, J.J. (2020). A Robust PDR\/UWB Integrated Indoor Localization Approach for Pedestrians in Harsh Environments. Sensors, 20.","DOI":"10.3390\/s20010193"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"32581","DOI":"10.1007\/s11042-022-13072-y","article-title":"An improved indoor pedestrian dead reckoning algorithm using ambient light and sensors","volume":"81","author":"Tao","year":"2022","journal-title":"Multimed. Tools Appl."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Xu, S.L., Wang, Y.J., Sun, M., Si, M.H., and Cao, H.J. (2021). A Real-Time BLE\/PDR Integrated System by Using an Improved Robust Filter for Indoor Position. Appl. Sci., 11.","DOI":"10.3390\/app11178170"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Zhang, W., Sengupta, R., Fodero, J., and Li, X.L. (2017, January 18\u201321). DeepPositioning: Intelligent Fusion of Pervasive Magnetic Field and WiFi Fingerprinting for Smartphone Indoor Localization via Deep Learning. Proceedings of the 16th IEEE International Conference on Machine Learning and Applications (ICMLA), Cancun, Mexico.","DOI":"10.1109\/ICMLA.2017.0-185"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"He, T., Niu, Q., He, S.N., Liu, N., and IEEE (2019, January 9\u201313). Indoor Localization with Spatial and Temporal Representations of Signal Sequences. Proceedings of the IEEE Global Communications Conference (IEEE GLOBECOM), Waikoloa, HI, USA.","DOI":"10.1109\/GLOBECOM38437.2019.9014159"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"11678","DOI":"10.1109\/TVT.2021.3113333","article-title":"Indoor Localization With Adaptive Signal Sequence Representations","volume":"70","author":"Liu","year":"2021","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"66213","DOI":"10.1109\/ACCESS.2020.2985384","article-title":"MINLOC:Magnetic Field Patterns-Based Indoor Localization Using Convolutional Neural Networks","volume":"8","author":"Ashraf","year":"2020","journal-title":"IEEE Access"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Ouyang, G.L., Abed-Meraim, K., and Ouyang, Z.K. (2023). Magnetic-Field-Based Indoor Positioning Using Temporal Convolutional Networks. Sensors, 23.","DOI":"10.3390\/s23031514"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"193396","DOI":"10.1109\/ACCESS.2020.3033312","article-title":"Improving Fingerprint Indoor Localization Using Convolutional Neural Networks","volume":"8","author":"Sun","year":"2020","journal-title":"IEEE Access"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Bae, H.J., and Choi, L. (2019, January 20\u201324). Large-Scale Indoor Positioning using Geomagnetic Field with Deep Neural Networks. Proceedings of the ICC 2019\u20132019 IEEE International Conference on Communications (ICC), Shanghai, China.","DOI":"10.1109\/ICC.2019.8761118"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"10093","DOI":"10.1007\/s00521-021-05774-5","article-title":"Real-time indoor localization using smartphone magnetic with LSTM networks","volume":"33","author":"Zhang","year":"2021","journal-title":"Neural Comput. Appl."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"3321","DOI":"10.1109\/JSEN.2022.3227952","article-title":"Indoor Geomagnetic Positioning Using Direction-Aware Multiscale Recurrent Neural Networks","volume":"23","author":"Shu","year":"2023","journal-title":"IEEE Sens. J."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"6091261","DOI":"10.1155\/2017\/6091261","article-title":"Pedestrian Stride Length Estimation from IMU Measurements and ANN Based Algorithm","volume":"2017","author":"Xing","year":"2017","journal-title":"J. Sens."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Wang, Q., Ye, L.L., Luo, H.Y., Men, A.D., Zhao, F., and Huang, Y. (2019). Pedestrian Stride-Length Estimation Based on LSTM and Denoising Autoencoders. Sensors, 19.","DOI":"10.3390\/s19040840"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Ping, Z., Zhidong, M., Pengyu, W., and Zhihong, D. (2020, January 6\u20138). Pedestrian Stride-Length Estimation Based on Bidirectional LSTM Network. Proceedings of the 2020 Chinese Automation Congress (CAC), Shanghai, China.","DOI":"10.1109\/CAC51589.2020.9327734"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"2705","DOI":"10.1109\/TIM.2018.2871808","article-title":"Accurate Step Length Estimation for Pedestrian Dead Reckoning Localization Using Stacked Autoencoders","volume":"68","author":"Gu","year":"2019","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"5824","DOI":"10.1109\/JSEN.2022.3148313","article-title":"Mode-Independent Stride Length Estimation With IMUs in Smartphones","volume":"22","author":"Bo","year":"2022","journal-title":"IEEE Sens. J."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1109\/JBHI.2017.2679486","article-title":"Mobile Stride Length Estimation With Deep Convolutional Neural Networks","volume":"22","author":"Hannink","year":"2018","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"6116","DOI":"10.1109\/ACCESS.2018.2791579","article-title":"Pedestrian Dead-Reckoning Indoor Localization Based on OS-ELM","volume":"6","author":"Zhang","year":"2018","journal-title":"IEEE Access"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Edel, M., Koppe, E., and IEEE (2015, January 13\u201316). An Advanced Method for Pedestrian Dead Reckoning using BLSTM-RNNs. Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN), Banff, AB, Canada.","DOI":"10.1109\/IPIN.2015.7346954"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"85706","DOI":"10.1109\/ACCESS.2020.2993534","article-title":"StepNet\u2014Deep Learning Approaches for Step Length Estimation","volume":"8","author":"Klein","year":"2020","journal-title":"IEEE Access"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Yan, S., Su, Y., Luo, X., Sun, A., Ji, Y., and Ghazali, K.H.b. (2023). Deep Learning-Based Geomagnetic Navigation Method Integrated with Dead Reckoning. Remote. Sens., 15.","DOI":"10.3390\/rs15174165"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"He, K.M., Zhang, X.Y., Ren, S.Q., Sun, J., and IEEE (2016, January 27\u201330). Deep Residual Learning for Image Recognition. Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA.","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Dey, R., Salem, F.M., and IEEE (2017, January 6\u20139). Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks. Proceedings of the 60th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Tufts Univ, Medford Somerville Campus, Boston, MA, USA.","DOI":"10.1109\/MWSCAS.2017.8053243"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2222","DOI":"10.1109\/TNNLS.2016.2582924","article-title":"LSTM: A Search Space Odyssey","volume":"28","author":"Greff","year":"2017","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"LeCun","year":"2015","journal-title":"Nature"},{"key":"ref_52","first-page":"55560101","article-title":"Using the ADXL202 in pedometer and personal navigation applications","volume":"2","author":"Weinberg","year":"2002","journal-title":"Analog Devices AN-602 Appl. Note"},{"key":"ref_53","unstructured":"Scarlett, J. (2009). Enhancing the Performance of Pedometers Using a Single Accelerometer, Analog Devices."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"273","DOI":"10.5081\/jgps.3.1.273","article-title":"A Step, Stride and Heading Determination for the Pedestrian Navigation System","volume":"3","author":"Kim","year":"2004","journal-title":"J. Glob. Position. Syst."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/21\/8680\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T21:11:03Z","timestamp":1760130663000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/21\/8680"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,24]]},"references-count":54,"journal-issue":{"issue":"21","published-online":{"date-parts":[[2023,11]]}},"alternative-id":["s23218680"],"URL":"https:\/\/doi.org\/10.3390\/s23218680","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,24]]}}}