{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T14:24:21Z","timestamp":1761402261118,"version":"build-2065373602"},"reference-count":36,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2022,8,25]],"date-time":"2022-08-25T00:00:00Z","timestamp":1661385600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Ranging accuracy is a critical parameter in time-based indoor positioning systems. Indoor environments often have complex structures, which make centimeter-level-accurate ranging a challenging task. This study proposes a new distance measurement method to decrease the ranging error in multipath environment. Our method uses an artificial neural network that utilizes the received signal strength indicator along with a signal\u2019s angle of arrival to calculate the line-of-sight distance. This combination results in a significant reduction of the error caused by multipath effects that common RSSI-based methods suffer from. It outperforms traditional ranging methods while the implementation complexity is kept low.<\/jats:p>","DOI":"10.3390\/s22176404","type":"journal-article","created":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T02:04:32Z","timestamp":1661479472000},"page":"6404","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A Machine Learning Approach to Improve Ranging Accuracy with AoA and RSSI"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2183-793X","authenticated-orcid":false,"given":"Tingwei","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA"}]},{"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Software & Microelectronics, Peking University, Beijing 100871, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9857-5325","authenticated-orcid":false,"given":"Paris","family":"Kalathas","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA"}]},{"given":"Guangxin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7419-2947","authenticated-orcid":false,"given":"Huaping","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA"}]}],"member":"1968","published-online":{"date-parts":[[2022,8,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2568","DOI":"10.1109\/COMST.2019.2911558","article-title":"A survey of indoor localization systems and technologies","volume":"21","author":"Zafari","year":"2019","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1186\/s13673-020-00222-0","article-title":"Indoor positioning and wayfinding systems: A survey","volume":"10","author":"Kunhoth","year":"2020","journal-title":"Hum.-Centric Comput. Inf. Sci."},{"key":"ref_3","first-page":"145","article-title":"A state-of-the-art survey of indoor positioning and navigation systems and technologies","volume":"29","author":"Sakpere","year":"2017","journal-title":"S. Afr. Comput. J."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"3502","DOI":"10.1109\/TVT.2007.901061","article-title":"Transmitter-side multipath preprocessing for pulsed UWB systems considering pulse overlapping and narrow-band interference","volume":"56","author":"Zhao","year":"2007","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2551","DOI":"10.1109\/TWC.2007.05892","article-title":"Hybrid ultrawideband modulations compatible for both coherent and transmit-reference receivers","volume":"6","author":"Zhao","year":"2007","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_6","unstructured":"Zhao, S., and Liu, H. (December, January 28). Prerake diversity combining for pulsed UWB systems considering realistic channels with pulse overlapping and narrow-band interference. Proceedings of the GLOBECOM\u201905, IEEE Global Telecommunications Conference, St. Louis, MO, USA."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1961","DOI":"10.1109\/TIE.2010.2055774","article-title":"A standalone RFID indoor positioning system using passive tags","volume":"58","author":"Saab","year":"2010","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_8","unstructured":"Agarwal, H., Sanghvi, N., Roy, V., and Kitani, K. (2021). DeepBLE: Generalizing RSSI-based Localization Across Different Devices. arXiv."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"4798","DOI":"10.1109\/JSYST.2019.2960510","article-title":"Environment-assisted passive WiFi tracking with self-localizing asynchronous sniffers","volume":"14","author":"Suraweera","year":"2020","journal-title":"IEEE Syst. J."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"3929","DOI":"10.1109\/JSYST.2019.2903278","article-title":"Passive localization of standard WiFi devices","volume":"13","author":"Li","year":"2019","journal-title":"IEEE Syst. J."},{"key":"ref_11","unstructured":"Mandal, A., Lopes, C.V., Givargis, T., Haghighat, A., Jurdak, R., and Baldi, P. (2005, January 6). Beep: 3D indoor positioning using audible sound. Proceedings of the Second IEEE Consumer Communications and Networking Conference, Las Vegas, NV, USA."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Liu, K., Liu, X., and Li, X. (2013, January 25\u201328). Guoguo: Enabling fine-grained indoor localization via smartphone. Proceedings of the 11th Annual International Conference on Mobile Systems, Applications, and Services, Taipei, Taiwan.","DOI":"10.1145\/2462456.2464450"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"31772","DOI":"10.1109\/ACCESS.2018.2838590","article-title":"An indoor localization method based on AOA and PDOA using virtual stations in multipath and NLOS environments for passive UHF RFID","volume":"6","author":"Ma","year":"2018","journal-title":"IEEE Access"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"10868","DOI":"10.1109\/JIOT.2020.2990314","article-title":"AoA-aware probabilistic indoor location fingerprinting using channel state information","volume":"7","author":"Chen","year":"2020","journal-title":"IEEE Int. Things J."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Gjengset, J., Xiong, J., McPhillips, G., and Jamieson, K. (2014, January 7\u201311). Phaser: Enabling phased array signal processing on commodity WiFi access points. Proceedings of the 20th annual international conference on Mobile computing and networking, Maui, HI, USA.","DOI":"10.1145\/2639108.2639139"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Martin, E., Vinyals, O., Friedland, G., and Bajcsy, R. (2010, January 25\u201329). Precise indoor localization using smart phones. Proceedings of the 18th ACM International Conference on Multimedia, Firenze, Italy.","DOI":"10.1145\/1873951.1874078"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1163","DOI":"10.1109\/TASE.2018.2873800","article-title":"RSS-Based Indoor Localization Using Belief Function Theory","volume":"16","author":"Achroufene","year":"2018","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Biehl, J.T., Cooper, M., Filby, G., and Kratz, S. (2014, January 13\u201317). Loco: A ready-to-deploy framework for efficient room localization using wi-fi. Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Seattle, WA, USA.","DOI":"10.1145\/2632048.2636083"},{"key":"ref_19","unstructured":"Vasisht, D., Kumar, S., and Katabi, D. (2018, January 16\u201318). Decimeter-Level Localization with a Single WiFi Access Point. Proceedings of the 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 16), Santa Clara, CA, USA."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Afousi, M.B., and Zoghi, M.R. (2018, January 8\u201310). Wi-Fi RSS indoor positioning system using online layer clustering and weighted DCP-KNN. Proceedings of the 2018 26th Iranian Conference on Electrical Engineering (ICEE), Mashhad, Iran.","DOI":"10.1109\/ICEE.2018.8472473"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"197523","DOI":"10.1109\/ACCESS.2020.3031089","article-title":"KF-KNN: Low-cost and high-accurate FM-based indoor localization model via fingerprint technology","volume":"8","author":"Du","year":"2020","journal-title":"IEEE Access"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Goldoni, E., Savioli, A., Risi, M., and Gamba, P. (2010, January 12\u201315). Experimental analysis of RSSI-based indoor localization with IEEE 802.15.4. Proceedings of the 2010 European Wireless Conference (EW), Lucca, Italy.","DOI":"10.1109\/EW.2010.5483396"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Youssef, M., and Agrawala, A. (2005, January 6\u20138). The Horus WLAN location determination system. Proceedings of the 3rd International Conference on Mobile Systems, Applications, and Services, Washington, DC, USA.","DOI":"10.1145\/1067170.1067193"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Yang, J., and Chen, Y. (December, January 30). Indoor localization using improved rss-based lateration methods. Proceedings of the GLOBECOM 2009\u20142009 IEEE Global Telecommunications Conference, Honolulu, HI, USA.","DOI":"10.1109\/GLOCOM.2009.5425237"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1109\/JSEN.2020.3012786","article-title":"Multipath-assisted indoor localization using a single receiver","volume":"21","author":"Li","year":"2020","journal-title":"IEEE Sens. J."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Kumar, S., Gil, S., Katabi, D., and Rus, D. (2014, January 7\u201311). Accurate indoor localization with zero start-up cost. Proceedings of the 20th Annual International Conference on Mobile Computing and Networking, Maui, HI, USA.","DOI":"10.1145\/2639108.2639142"},{"key":"ref_27","unstructured":"Xiong, J., and Jamieson, K. (2013, January 2\u20135). ArrayTrack: A Fine-Grained Indoor Location System. Proceedings of the 10th USENIX Symposium on Networked Systems Design and Implementation (NSDI 13), Lombard, IL, USA."},{"key":"ref_28","unstructured":"Adege, A.B., Yayeh, Y., Berie, G., Lin, H.-P., Yen, L., and Li, Y.R. (May, January 30). Indoor localization using K-nearest neighbor and artificial neural network back propagation algorithms. Proceedings of the 2018 27th Wireless and Optical Communication Conference (WOCC), Hualien, Taiwan."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Ibrahim, A., Rahim, S.K.A., and Mohamad, H. (2015, January 23\u201325). Performance evaluation of RSS-based WSN indoor localization scheme using artificial neural network schemes. Proceedings of the 2015 IEEE 12th Malaysia International Conference on Communications (MICC), Kuching, Malaysia.","DOI":"10.1109\/MICC.2015.7725451"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Adhikari, B., and Fernando, X.N. (2021, January 25\u201327). A Neural Network Based Recursive Least Square Multilateration Technique for Indoor Positioning. Proceedings of the 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Porto, Portugal.","DOI":"10.1109\/CAMAD52502.2021.9617769"},{"key":"ref_31","unstructured":"Viswanathan, M. (2020, June 01). Wireless Communication Systems in Matlab; Independently Published; 2020. Available online: https:\/\/www.gaussianwaves.com\/wireless-communication-systems-in-matlab."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1109\/PROC.1967.5439","article-title":"Multidimensional maximum-likelihood processing of a large aperture seismic array","volume":"55","author":"Capon","year":"1967","journal-title":"Proc. IEEE"},{"key":"ref_33","unstructured":"Van Trees, H.L. (2004). Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory, John Wiley & Sons."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1007\/s11265-019-01467-4","article-title":"Direction-of-arrival estimation methods: A performance-complexity tradeoff perspective","volume":"92","author":"Gentilho","year":"2020","journal-title":"J. Signal Process. Syst."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"e00938","DOI":"10.1016\/j.heliyon.2018.e00938","article-title":"State-of-the-art in artificial neural network applications: A survey","volume":"4","author":"Abiodun","year":"2018","journal-title":"Heliyon"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1162\/neco.1992.4.3.415","article-title":"Bayesian interpolation","volume":"4","author":"MacKay","year":"1992","journal-title":"Neural Comput."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/17\/6404\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:15:08Z","timestamp":1760141708000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/17\/6404"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,25]]},"references-count":36,"journal-issue":{"issue":"17","published-online":{"date-parts":[[2022,9]]}},"alternative-id":["s22176404"],"URL":"https:\/\/doi.org\/10.3390\/s22176404","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2022,8,25]]}}}