[{"publication":"IEEE Signal Processing Magazine","type":"journal_article","abstract":[{"lang":"eng","text":"Today, we are often surrounded by devices with one or more microphones, such as smartphones, laptops, and wireless microphones. If they are part of an acoustic sensor network, their distribution in the environment can be beneficially exploited for various speech processing tasks. However, applications like speaker localization, speaker tracking, and speech enhancement by beamforming avail themselves of the geometrical configuration of the sensors. Therefore, acoustic microphone geometry calibration has recently become a very active field of research. This article provides an application-oriented, comprehensive survey of existing methods for microphone position self-calibration, which will be categorized by the measurements they use and the scenarios they can calibrate. Selected methods will be evaluated comparatively with real-world recordings."}],"status":"public","_id":"11886","department":[{"_id":"54"}],"user_id":"44006","keyword":["Acoustic sensors","Microphones","Portable computers","Smart phones","Wireless communication","Wireless sensor networks"],"language":[{"iso":"eng"}],"publication_identifier":{"issn":["1053-5888"]},"issue":"4","year":"2016","page":"14-29","intvolume":"        33","citation":{"chicago":"Plinge, Axel, Florian Jacob, Reinhold Haeb-Umbach, and Gernot A. Fink. “Acoustic Microphone Geometry Calibration: An Overview and Experimental Evaluation of State-of-the-Art Algorithms.” <i>IEEE Signal Processing Magazine</i> 33, no. 4 (2016): 14–29. <a href=\"https://doi.org/10.1109/MSP.2016.2555198\">https://doi.org/10.1109/MSP.2016.2555198</a>.","ieee":"A. Plinge, F. Jacob, R. Haeb-Umbach, and G. A. Fink, “Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms,” <i>IEEE Signal Processing Magazine</i>, vol. 33, no. 4, pp. 14–29, 2016.","ama":"Plinge A, Jacob F, Haeb-Umbach R, Fink GA. Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms. <i>IEEE Signal Processing Magazine</i>. 2016;33(4):14-29. doi:<a href=\"https://doi.org/10.1109/MSP.2016.2555198\">10.1109/MSP.2016.2555198</a>","mla":"Plinge, Axel, et al. “Acoustic Microphone Geometry Calibration: An Overview and Experimental Evaluation of State-of-the-Art Algorithms.” <i>IEEE Signal Processing Magazine</i>, vol. 33, no. 4, 2016, pp. 14–29, doi:<a href=\"https://doi.org/10.1109/MSP.2016.2555198\">10.1109/MSP.2016.2555198</a>.","short":"A. Plinge, F. Jacob, R. Haeb-Umbach, G.A. Fink, IEEE Signal Processing Magazine 33 (2016) 14–29.","bibtex":"@article{Plinge_Jacob_Haeb-Umbach_Fink_2016, title={Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms}, volume={33}, DOI={<a href=\"https://doi.org/10.1109/MSP.2016.2555198\">10.1109/MSP.2016.2555198</a>}, number={4}, journal={IEEE Signal Processing Magazine}, author={Plinge, Axel and Jacob, Florian and Haeb-Umbach, Reinhold and Fink, Gernot A.}, year={2016}, pages={14–29} }","apa":"Plinge, A., Jacob, F., Haeb-Umbach, R., &#38; Fink, G. A. (2016). Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms. <i>IEEE Signal Processing Magazine</i>, <i>33</i>(4), 14–29. <a href=\"https://doi.org/10.1109/MSP.2016.2555198\">https://doi.org/10.1109/MSP.2016.2555198</a>"},"date_updated":"2022-01-06T06:51:11Z","volume":33,"date_created":"2019-07-12T05:30:09Z","author":[{"full_name":"Plinge, Axel","last_name":"Plinge","first_name":"Axel"},{"first_name":"Florian","last_name":"Jacob","full_name":"Jacob, Florian"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"},{"first_name":"Gernot A.","full_name":"Fink, Gernot A.","last_name":"Fink"}],"title":"Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms","doi":"10.1109/MSP.2016.2555198"},{"date_created":"2019-07-12T05:28:51Z","author":[{"full_name":"Hoang, Manh Kha","last_name":"Hoang","first_name":"Manh Kha"},{"last_name":"Schmitz","full_name":"Schmitz, Sarah","first_name":"Sarah"},{"last_name":"Drueke","full_name":"Drueke, Christian","first_name":"Christian"},{"last_name":"Vu","full_name":"Vu, Dang Hai Tran","first_name":"Dang Hai Tran"},{"last_name":"Schmalenstroeer","full_name":"Schmalenstroeer, Joerg","id":"460","first_name":"Joerg"},{"first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach"}],"date_updated":"2023-10-26T08:09:36Z","oa":"1","doi":"10.1109/WPNC.2013.6533263","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrScHa2013.pdf","open_access":"1"}],"title":"Server based indoor navigation using RSSI and inertial sensor information","related_material":{"link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrScHa2013_Poster.pdf","relation":"supplementary_material","description":"Poster"}]},"quality_controlled":"1","page":"1-6","citation":{"short":"M.K. Hoang, S. Schmitz, C. Drueke, D.H.T. Vu, J. Schmalenstroeer, R. Haeb-Umbach, in: Positioning Navigation and Communication (WPNC), 2013 10th Workshop On, 2013, pp. 1–6.","bibtex":"@inproceedings{Hoang_Schmitz_Drueke_Vu_Schmalenstroeer_Haeb-Umbach_2013, title={Server based indoor navigation using RSSI and inertial sensor information}, DOI={<a href=\"https://doi.org/10.1109/WPNC.2013.6533263\">10.1109/WPNC.2013.6533263</a>}, booktitle={Positioning Navigation and Communication (WPNC), 2013 10th Workshop on}, author={Hoang, Manh Kha and Schmitz, Sarah and Drueke, Christian and Vu, Dang Hai Tran and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2013}, pages={1–6} }","mla":"Hoang, Manh Kha, et al. “Server Based Indoor Navigation Using RSSI and Inertial Sensor Information.” <i>Positioning Navigation and Communication (WPNC), 2013 10th Workshop On</i>, 2013, pp. 1–6, doi:<a href=\"https://doi.org/10.1109/WPNC.2013.6533263\">10.1109/WPNC.2013.6533263</a>.","apa":"Hoang, M. K., Schmitz, S., Drueke, C., Vu, D. H. T., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2013). Server based indoor navigation using RSSI and inertial sensor information. <i>Positioning Navigation and Communication (WPNC), 2013 10th Workshop On</i>, 1–6. <a href=\"https://doi.org/10.1109/WPNC.2013.6533263\">https://doi.org/10.1109/WPNC.2013.6533263</a>","ama":"Hoang MK, Schmitz S, Drueke C, Vu DHT, Schmalenstroeer J, Haeb-Umbach R. Server based indoor navigation using RSSI and inertial sensor information. In: <i>Positioning Navigation and Communication (WPNC), 2013 10th Workshop On</i>. ; 2013:1-6. doi:<a href=\"https://doi.org/10.1109/WPNC.2013.6533263\">10.1109/WPNC.2013.6533263</a>","chicago":"Hoang, Manh Kha, Sarah Schmitz, Christian Drueke, Dang Hai Tran Vu, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Server Based Indoor Navigation Using RSSI and Inertial Sensor Information.” In <i>Positioning Navigation and Communication (WPNC), 2013 10th Workshop On</i>, 1–6, 2013. <a href=\"https://doi.org/10.1109/WPNC.2013.6533263\">https://doi.org/10.1109/WPNC.2013.6533263</a>.","ieee":"M. K. Hoang, S. Schmitz, C. Drueke, D. H. T. Vu, J. Schmalenstroeer, and R. Haeb-Umbach, “Server based indoor navigation using RSSI and inertial sensor information,” in <i>Positioning Navigation and Communication (WPNC), 2013 10th Workshop on</i>, 2013, pp. 1–6, doi: <a href=\"https://doi.org/10.1109/WPNC.2013.6533263\">10.1109/WPNC.2013.6533263</a>."},"year":"2013","department":[{"_id":"54"}],"user_id":"460","_id":"11818","language":[{"iso":"eng"}],"keyword":["SQL","navigation","smart phones","wireless LAN","RSSI","SQL database","complete multilevel office building","inertial sensor information","inertial smartphone sensors","map renderer","received signal strength index information","relative position estimates","server based indoor navigation","step detection","wireless-LAN access points","Smartphone","fingerprint","indoor navigation","map tile"],"publication":"Positioning Navigation and Communication (WPNC), 2013 10th Workshop on","type":"conference","status":"public","abstract":[{"lang":"eng","text":"In this paper we present a system for indoor navigation based on received signal strength index information of Wireless-LAN access points and relative position estimates. The relative position information is gathered from inertial smartphone sensors using a step detection and an orientation estimate. Our map data is hosted on a server employing a map renderer and a SQL database. The database includes a complete multilevel office building, within which the user can navigate. During navigation, the client retrieves the position estimate from the server, together with the corresponding map tiles to visualize the user's position on the smartphone display."}]}]