---
_id: '11886'
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.
author:
- first_name: Axel
  full_name: Plinge, Axel
  last_name: Plinge
- first_name: Florian
  full_name: Jacob, Florian
  last_name: Jacob
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
- first_name: Gernot A.
  full_name: Fink, Gernot A.
  last_name: Fink
citation:
  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>'
  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>'
  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}
    }'
  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.'
  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.
date_created: 2019-07-12T05:30:09Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/MSP.2016.2555198
intvolume: '        33'
issue: '4'
keyword:
- Acoustic sensors
- Microphones
- Portable computers
- Smart phones
- Wireless communication
- Wireless sensor networks
language:
- iso: eng
page: 14-29
publication: IEEE Signal Processing Magazine
publication_identifier:
  issn:
  - 1053-5888
status: public
title: 'Acoustic Microphone Geometry Calibration: An overview and experimental evaluation
  of state-of-the-art algorithms'
type: journal_article
user_id: '44006'
volume: 33
year: '2016'
...
---
_id: '11818'
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.
author:
- first_name: Manh Kha
  full_name: Hoang, Manh Kha
  last_name: Hoang
- first_name: Sarah
  full_name: Schmitz, Sarah
  last_name: Schmitz
- first_name: Christian
  full_name: Drueke, Christian
  last_name: Drueke
- first_name: Dang Hai Tran
  full_name: Vu, Dang Hai Tran
  last_name: Vu
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  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>'
  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>
  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} }'
  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>.'
  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>.
  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.'
date_created: 2019-07-12T05:28:51Z
date_updated: 2023-10-26T08:09:36Z
department:
- _id: '54'
doi: 10.1109/WPNC.2013.6533263
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
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrScHa2013.pdf
oa: '1'
page: 1-6
publication: Positioning Navigation and Communication (WPNC), 2013 10th Workshop on
quality_controlled: '1'
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrScHa2013_Poster.pdf
status: public
title: Server based indoor navigation using RSSI and inertial sensor information
type: conference
user_id: '460'
year: '2013'
...
