---
_id: '11816'
abstract:
- lang: eng
  text: In this paper, we consider the Maximum Likelihood (ML) estimation of the parameters
    of a GAUSSIAN in the presence of censored, i.e., clipped data. We show that the
    resulting Expectation Maximization (EM) algorithm delivers virtually biasfree
    and efficient estimates, and we discuss its convergence properties. We also discuss
    optimal classification in the presence of censored data. Censored data are frequently
    encountered in wireless LAN positioning systems based on the fingerprinting method
    employing signal strength measurements, due to the limited sensitivity of the
    portable devices. Experiments both on simulated and real-world data demonstrate
    the effectiveness of the proposed algorithms.
author:
- first_name: Manh Kha
  full_name: Hoang, Manh Kha
  last_name: Hoang
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Hoang MK, Haeb-Umbach R. Parameter estimation and classification of censored
    Gaussian data with application to WiFi indoor positioning. In: <i>38th International
    Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>. ; 2013:3721-3725.
    doi:<a href="https://doi.org/10.1109/ICASSP.2013.6638353">10.1109/ICASSP.2013.6638353</a>'
  apa: Hoang, M. K., &#38; Haeb-Umbach, R. (2013). Parameter estimation and classification
    of censored Gaussian data with application to WiFi indoor positioning. In <i>38th
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>
    (pp. 3721–3725). <a href="https://doi.org/10.1109/ICASSP.2013.6638353">https://doi.org/10.1109/ICASSP.2013.6638353</a>
  bibtex: '@inproceedings{Hoang_Haeb-Umbach_2013, title={Parameter estimation and
    classification of censored Gaussian data with application to WiFi indoor positioning},
    DOI={<a href="https://doi.org/10.1109/ICASSP.2013.6638353">10.1109/ICASSP.2013.6638353</a>},
    booktitle={38th International Conference on Acoustics, Speech, and Signal Processing
    (ICASSP 2013)}, author={Hoang, Manh Kha and Haeb-Umbach, Reinhold}, year={2013},
    pages={3721–3725} }'
  chicago: Hoang, Manh Kha, and Reinhold Haeb-Umbach. “Parameter Estimation and Classification
    of Censored Gaussian Data with Application to WiFi Indoor Positioning.” In <i>38th
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>,
    3721–25, 2013. <a href="https://doi.org/10.1109/ICASSP.2013.6638353">https://doi.org/10.1109/ICASSP.2013.6638353</a>.
  ieee: M. K. Hoang and R. Haeb-Umbach, “Parameter estimation and classification of
    censored Gaussian data with application to WiFi indoor positioning,” in <i>38th
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>,
    2013, pp. 3721–3725.
  mla: Hoang, Manh Kha, and Reinhold Haeb-Umbach. “Parameter Estimation and Classification
    of Censored Gaussian Data with Application to WiFi Indoor Positioning.” <i>38th
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>,
    2013, pp. 3721–25, doi:<a href="https://doi.org/10.1109/ICASSP.2013.6638353">10.1109/ICASSP.2013.6638353</a>.
  short: 'M.K. Hoang, R. Haeb-Umbach, in: 38th International Conference on Acoustics,
    Speech, and Signal Processing (ICASSP 2013), 2013, pp. 3721–3725.'
date_created: 2019-07-12T05:28:48Z
date_updated: 2022-01-06T06:51:09Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2013.6638353
keyword:
- Gaussian processes
- Global Positioning System
- convergence
- expectation-maximisation algorithm
- fingerprint identification
- indoor radio
- signal classification
- wireless LAN
- EM algorithm
- ML estimation
- WiFi indoor positioning
- censored Gaussian data classification
- clipped data
- convergence properties
- expectation maximization algorithm
- fingerprinting method
- maximum likelihood estimation
- optimal classification
- parameters estimation
- portable devices sensitivity
- signal strength measurements
- wireless LAN positioning systems
- Convergence
- IEEE 802.11 Standards
- Maximum likelihood estimation
- Parameter estimation
- Position measurement
- Training
- Indoor positioning
- censored data
- expectation maximization
- signal strength
- wireless LAN
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2013/HoHa2013.pdf
oa: '1'
page: 3721-3725
publication: 38th International Conference on Acoustics, Speech, and Signal Processing
  (ICASSP 2013)
publication_identifier:
  issn:
  - 1520-6149
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2013/HoHa2013_Poster.pdf
status: public
title: Parameter estimation and classification of censored Gaussian data with application
  to WiFi indoor positioning
type: conference
user_id: '44006'
year: '2013'
...
---
_id: '11726'
abstract:
- lang: eng
  text: In this paper we present a robust location estimation algorithm especially
    focused on the accuracy in vertical position. A loosely-coupled error state space
    Kalman filter, which fuses sensor data of an Inertial Measurement Unit and the
    output of a Global Positioning System device, is augmented by height information
    from an altitude measurement unit. This unit consists of a barometric altimeter
    whose output is fused with topographic map information by a Kalman filter to provide
    robust information about the current vertical user position. These data replace
    the less reliable vertical position information provided the GPS device. It is
    shown that typical barometric errors like thermal divergences and fluctuations
    in the pressure due to changing weather conditions can be compensated by the topographic
    map information and the barometric error Kalman filter. The resulting height information
    is shown not only to be more reliable than height information provided by GPS.
    It also turns out that it leads to better attitude and thus better overall localization
    estimation accuracy due to the coupling of spatial orientations via the Direct
    Cosine Matrix. Results are presented both for artificially generated and field
    test data, where the user is moving by car.
author:
- first_name: Maik
  full_name: Bevermeier, Maik
  last_name: Bevermeier
- first_name: Oliver
  full_name: Walter, Oliver
  last_name: Walter
- first_name: Sven
  full_name: Peschke, Sven
  last_name: Peschke
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Bevermeier M, Walter O, Peschke S, Haeb-Umbach R. Barometric height estimation
    combined with map-matching in a loosely-coupled Kalman-filter. In: <i>7th Workshop
    on Positioning Navigation and Communication (WPNC 2010)</i>. ; 2010:128-134. doi:<a
    href="https://doi.org/10.1109/WPNC.2010.5650745">10.1109/WPNC.2010.5650745</a>'
  apa: Bevermeier, M., Walter, O., Peschke, S., &#38; Haeb-Umbach, R. (2010). Barometric
    height estimation combined with map-matching in a loosely-coupled Kalman-filter.
    In <i>7th Workshop on Positioning Navigation and Communication (WPNC 2010)</i>
    (pp. 128–134). <a href="https://doi.org/10.1109/WPNC.2010.5650745">https://doi.org/10.1109/WPNC.2010.5650745</a>
  bibtex: '@inproceedings{Bevermeier_Walter_Peschke_Haeb-Umbach_2010, title={Barometric
    height estimation combined with map-matching in a loosely-coupled Kalman-filter},
    DOI={<a href="https://doi.org/10.1109/WPNC.2010.5650745">10.1109/WPNC.2010.5650745</a>},
    booktitle={7th Workshop on Positioning Navigation and Communication (WPNC 2010)},
    author={Bevermeier, Maik and Walter, Oliver and Peschke, Sven and Haeb-Umbach,
    Reinhold}, year={2010}, pages={128–134} }'
  chicago: Bevermeier, Maik, Oliver Walter, Sven Peschke, and Reinhold Haeb-Umbach.
    “Barometric Height Estimation Combined with Map-Matching in a Loosely-Coupled
    Kalman-Filter.” In <i>7th Workshop on Positioning Navigation and Communication
    (WPNC 2010)</i>, 128–34, 2010. <a href="https://doi.org/10.1109/WPNC.2010.5650745">https://doi.org/10.1109/WPNC.2010.5650745</a>.
  ieee: M. Bevermeier, O. Walter, S. Peschke, and R. Haeb-Umbach, “Barometric height
    estimation combined with map-matching in a loosely-coupled Kalman-filter,” in
    <i>7th Workshop on Positioning Navigation and Communication (WPNC 2010)</i>, 2010,
    pp. 128–134.
  mla: Bevermeier, Maik, et al. “Barometric Height Estimation Combined with Map-Matching
    in a Loosely-Coupled Kalman-Filter.” <i>7th Workshop on Positioning Navigation
    and Communication (WPNC 2010)</i>, 2010, pp. 128–34, doi:<a href="https://doi.org/10.1109/WPNC.2010.5650745">10.1109/WPNC.2010.5650745</a>.
  short: 'M. Bevermeier, O. Walter, S. Peschke, R. Haeb-Umbach, in: 7th Workshop on
    Positioning Navigation and Communication (WPNC 2010), 2010, pp. 128–134.'
date_created: 2019-07-12T05:27:04Z
date_updated: 2022-01-06T06:51:07Z
department:
- _id: '54'
doi: 10.1109/WPNC.2010.5650745
keyword:
- altitude measurement unit
- barometers
- barometric altimeter
- barometric error Kalman filter
- barometric height estimation
- direct cosine matrix
- global positioning system
- Global Positioning System
- GPS device
- height information
- height measurement
- inertial measurement unit
- Kalman filters
- loosely-coupled error state space Kalman filter
- loosely-coupled Kalman-filter
- map matching
- robust information
- robust location estimation
- sensor fusion
- topographic map information
- vertical user position
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2010/BeWaPeHa10.pdf
oa: '1'
page: 128-134
publication: 7th Workshop on Positioning Navigation and Communication (WPNC 2010)
status: public
title: Barometric height estimation combined with map-matching in a loosely-coupled
  Kalman-filter
type: conference
user_id: '44006'
year: '2010'
...
---
_id: '11723'
abstract:
- lang: eng
  text: In this paper we present a novel vehicle tracking algorithm, which is based
    on multi-level sensor fusion of GPS (global positioning system) with Inertial
    Measurement Unit sensor data. It is shown that the robustness of the system to
    temporary dropouts of the GPS signal, which may occur due to limited visibility
    of satellites in narrow street canyons or tunnels, is greatly improved by sensor
    fusion. We further demonstrate how the observation and state noise covariances
    of the employed Kalman filters can be estimated alongside the filtering by an
    application of the Expectation-Maximization algorithm. The proposed time-variant
    multi-level Kalman filter is shown to outperform an Interacting Multiple Model
    approach while at the same time being computationally less demanding.
author:
- first_name: Maik
  full_name: Bevermeier, Maik
  last_name: Bevermeier
- first_name: Sven
  full_name: Peschke, Sven
  last_name: Peschke
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Bevermeier M, Peschke S, Haeb-Umbach R. Robust vehicle localization based
    on multi-level sensor fusion and online parameter estimation. In: <i>6th Workshop
    on Positioning Navigation and Communication (WPNC 2009)</i>. ; 2009:235-242. doi:<a
    href="https://doi.org/10.1109/WPNC.2009.4907833">10.1109/WPNC.2009.4907833</a>'
  apa: Bevermeier, M., Peschke, S., &#38; Haeb-Umbach, R. (2009). Robust vehicle localization
    based on multi-level sensor fusion and online parameter estimation. In <i>6th
    Workshop on Positioning Navigation and Communication (WPNC 2009)</i> (pp. 235–242).
    <a href="https://doi.org/10.1109/WPNC.2009.4907833">https://doi.org/10.1109/WPNC.2009.4907833</a>
  bibtex: '@inproceedings{Bevermeier_Peschke_Haeb-Umbach_2009, title={Robust vehicle
    localization based on multi-level sensor fusion and online parameter estimation},
    DOI={<a href="https://doi.org/10.1109/WPNC.2009.4907833">10.1109/WPNC.2009.4907833</a>},
    booktitle={6th Workshop on Positioning Navigation and Communication (WPNC 2009)},
    author={Bevermeier, Maik and Peschke, Sven and Haeb-Umbach, Reinhold}, year={2009},
    pages={235–242} }'
  chicago: Bevermeier, Maik, Sven Peschke, and Reinhold Haeb-Umbach. “Robust Vehicle
    Localization Based on Multi-Level Sensor Fusion and Online Parameter Estimation.”
    In <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>,
    235–42, 2009. <a href="https://doi.org/10.1109/WPNC.2009.4907833">https://doi.org/10.1109/WPNC.2009.4907833</a>.
  ieee: M. Bevermeier, S. Peschke, and R. Haeb-Umbach, “Robust vehicle localization
    based on multi-level sensor fusion and online parameter estimation,” in <i>6th
    Workshop on Positioning Navigation and Communication (WPNC 2009)</i>, 2009, pp.
    235–242.
  mla: Bevermeier, Maik, et al. “Robust Vehicle Localization Based on Multi-Level
    Sensor Fusion and Online Parameter Estimation.” <i>6th Workshop on Positioning
    Navigation and Communication (WPNC 2009)</i>, 2009, pp. 235–42, doi:<a href="https://doi.org/10.1109/WPNC.2009.4907833">10.1109/WPNC.2009.4907833</a>.
  short: 'M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: 6th Workshop on Positioning
    Navigation and Communication (WPNC 2009), 2009, pp. 235–242.'
date_created: 2019-07-12T05:27:01Z
date_updated: 2022-01-06T06:51:07Z
department:
- _id: '54'
doi: 10.1109/WPNC.2009.4907833
keyword:
- covariance matrices
- expectation-maximisation algorithm
- expectation-maximization algorithm
- global positioning system
- Global Positioning System
- GPS
- inertial measurement unit
- interacting multiple model approach
- Kalman filters
- multilevel sensor fusion
- narrow street canyons
- narrow tunnels
- online parameter estimation
- parameter estimation
- road vehicles
- robust vehicle localization
- sensor fusion
- state noise covariances
- time-variant multilevel Kalman filter
- vehicle tracking algorithm
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2009/BePeHa09.pdf
oa: '1'
page: 235-242
publication: 6th Workshop on Positioning Navigation and Communication (WPNC 2009)
status: public
title: Robust vehicle localization based on multi-level sensor fusion and online parameter
  estimation
type: conference
user_id: '44006'
year: '2009'
...
---
_id: '11724'
abstract:
- lang: eng
  text: In this paper we present a novel vehicle tracking method which is based on
    multi-stage Kalman filtering of GPS and IMU sensor data. After individual Kalman
    filtering of GPS and IMU measurements the estimates of the orientation of the
    vehicle are combined in an optimal manner to improve the robustness towards drift
    errors. The tracking algorithm incorporates the estimation of time-variant covariance
    parameters by using an iterative block Expectation-Maximization algorithm to account
    for time-variant driving conditions and measurement quality. The proposed system
    is compared to an interacting multiple model approach (IMM) and achieves improved
    localization accuracy at lower computational complexity. Furthermore we show how
    the joint parameter estimation and localizaiton can be conducted with streaming
    input data to be able to track vehicles in a real driving environment.
author:
- first_name: Maik
  full_name: Bevermeier, Maik
  last_name: Bevermeier
- first_name: Sven
  full_name: Peschke, Sven
  last_name: Peschke
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Bevermeier M, Peschke S, Haeb-Umbach R. Joint Parameter Estimation and Tracking
    in a Multi-Stage Kalman Filter for Vehicle Positioning. In: <i>IEEE 69th Vehicular
    Technology Conference (VTC 2009 Spring)</i>. ; 2009:1-5. doi:<a href="https://doi.org/10.1109/VETECS.2009.5073634">10.1109/VETECS.2009.5073634</a>'
  apa: Bevermeier, M., Peschke, S., &#38; Haeb-Umbach, R. (2009). Joint Parameter
    Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning.
    In <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i> (pp. 1–5).
    <a href="https://doi.org/10.1109/VETECS.2009.5073634">https://doi.org/10.1109/VETECS.2009.5073634</a>
  bibtex: '@inproceedings{Bevermeier_Peschke_Haeb-Umbach_2009, title={Joint Parameter
    Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning},
    DOI={<a href="https://doi.org/10.1109/VETECS.2009.5073634">10.1109/VETECS.2009.5073634</a>},
    booktitle={IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)}, author={Bevermeier,
    Maik and Peschke, Sven and Haeb-Umbach, Reinhold}, year={2009}, pages={1–5} }'
  chicago: Bevermeier, Maik, Sven Peschke, and Reinhold Haeb-Umbach. “Joint Parameter
    Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning.”
    In <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i>, 1–5, 2009.
    <a href="https://doi.org/10.1109/VETECS.2009.5073634">https://doi.org/10.1109/VETECS.2009.5073634</a>.
  ieee: M. Bevermeier, S. Peschke, and R. Haeb-Umbach, “Joint Parameter Estimation
    and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning,” in <i>IEEE
    69th Vehicular Technology Conference (VTC 2009 Spring)</i>, 2009, pp. 1–5.
  mla: Bevermeier, Maik, et al. “Joint Parameter Estimation and Tracking in a Multi-Stage
    Kalman Filter for Vehicle Positioning.” <i>IEEE 69th Vehicular Technology Conference
    (VTC 2009 Spring)</i>, 2009, pp. 1–5, doi:<a href="https://doi.org/10.1109/VETECS.2009.5073634">10.1109/VETECS.2009.5073634</a>.
  short: 'M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: IEEE 69th Vehicular Technology
    Conference (VTC 2009 Spring), 2009, pp. 1–5.'
date_created: 2019-07-12T05:27:02Z
date_updated: 2022-01-06T06:51:07Z
department:
- _id: '54'
doi: 10.1109/VETECS.2009.5073634
keyword:
- computational complexity
- expectation-maximisation algorithm
- Global Positioning System
- inertial measurement unit
- inertial navigation
- interacting multiple model
- iterative block expectation-maximization algorithm
- Kalman filters
- multi-stage Kalman filter
- parameter estimation
- road vehicles
- vehicle positioning
- vehicle tracking
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2009/BePeHa09-1.pdf
oa: '1'
page: 1-5
publication: IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)
status: public
title: Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for
  Vehicle Positioning
type: conference
user_id: '44006'
year: '2009'
...
---
_id: '11881'
abstract:
- lang: eng
  text: A combination of GPS (global positioning system) and INS (inertial navigation
    system) is known to provide high precision and highly robust vehicle localization.
    Notably during times when the GPS signal has a poor quality, e.g. due to the lack
    of a sufficiently large number of visible satellites, the INS, which may consist
    of a gyroscope and an odometer, will lead to improved positioning accuracy. In
    this paper we show how velocity information obtained from GSM (global system for
    mobile communications) signalling, rather than from a tachometer, can be used
    together with a gyroscope sensor to support localization in the presence of temporarily
    unavailable GPS data. We propose a sensor fusion system architecture and present
    simulation results that show the effectiveness of this approach.
author:
- first_name: Sven
  full_name: Peschke, Sven
  last_name: Peschke
- first_name: Maik
  full_name: Bevermeier, Maik
  last_name: Bevermeier
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Peschke S, Bevermeier M, Haeb-Umbach R. A GPS positioning approach exploiting
    GSM velocity estimates. In: <i>6th Workshop on Positioning Navigation and Communication
    (WPNC 2009)</i>. ; 2009:195-202. doi:<a href="https://doi.org/10.1109/WPNC.2009.4907827">10.1109/WPNC.2009.4907827</a>'
  apa: Peschke, S., Bevermeier, M., &#38; Haeb-Umbach, R. (2009). A GPS positioning
    approach exploiting GSM velocity estimates. In <i>6th Workshop on Positioning
    Navigation and Communication (WPNC 2009)</i> (pp. 195–202). <a href="https://doi.org/10.1109/WPNC.2009.4907827">https://doi.org/10.1109/WPNC.2009.4907827</a>
  bibtex: '@inproceedings{Peschke_Bevermeier_Haeb-Umbach_2009, title={A GPS positioning
    approach exploiting GSM velocity estimates}, DOI={<a href="https://doi.org/10.1109/WPNC.2009.4907827">10.1109/WPNC.2009.4907827</a>},
    booktitle={6th Workshop on Positioning Navigation and Communication (WPNC 2009)},
    author={Peschke, Sven and Bevermeier, Maik and Haeb-Umbach, Reinhold}, year={2009},
    pages={195–202} }'
  chicago: Peschke, Sven, Maik Bevermeier, and Reinhold Haeb-Umbach. “A GPS Positioning
    Approach Exploiting GSM Velocity Estimates.” In <i>6th Workshop on Positioning
    Navigation and Communication (WPNC 2009)</i>, 195–202, 2009. <a href="https://doi.org/10.1109/WPNC.2009.4907827">https://doi.org/10.1109/WPNC.2009.4907827</a>.
  ieee: S. Peschke, M. Bevermeier, and R. Haeb-Umbach, “A GPS positioning approach
    exploiting GSM velocity estimates,” in <i>6th Workshop on Positioning Navigation
    and Communication (WPNC 2009)</i>, 2009, pp. 195–202.
  mla: Peschke, Sven, et al. “A GPS Positioning Approach Exploiting GSM Velocity Estimates.”
    <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>, 2009,
    pp. 195–202, doi:<a href="https://doi.org/10.1109/WPNC.2009.4907827">10.1109/WPNC.2009.4907827</a>.
  short: 'S. Peschke, M. Bevermeier, R. Haeb-Umbach, in: 6th Workshop on Positioning
    Navigation and Communication (WPNC 2009), 2009, pp. 195–202.'
date_created: 2019-07-12T05:30:04Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/WPNC.2009.4907827
keyword:
- cellular radio
- distance measurement
- global positioning system
- Global Positioning System
- global system for mobile communications
- GPS positioning approach
- GSM velocity
- gyroscopes
- gyroscope sensor
- inertial navigation
- inertial navigation system
- odometer
- sensor fusion system architecture
- sensors
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2009/PeBeHa09-1.pdf
oa: '1'
page: 195-202
publication: 6th Workshop on Positioning Navigation and Communication (WPNC 2009)
status: public
title: A GPS positioning approach exploiting GSM velocity estimates
type: conference
user_id: '44006'
year: '2009'
...
---
_id: '11733'
abstract:
- lang: eng
  text: Current navigation systems like GPS (Global Positioning System) and its Russian
    counterpart GLONASS (Global Navigation Satellite System) only evaluate the direct
    signal path. The receivers treat the reflected paths also reaching the receiver
    antenna as disturbance which has to be suppressed. Multipath affects the tracking
    accuracy by resulting in a degeneration of the S-curve of the DLL (delay locked
    loop). Nowadays the future European systems GALILEO and GPSIIF/III with two new
    signals are on the way to the market and it is time to think about new receiver
    structures. Therefore we investigated if it is possible to use multipath for navigation
    constructively.
author:
- first_name: Renke
  full_name: Bischoff, Renke
  last_name: Bischoff
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
- first_name: Wolfgang
  full_name: Schulz, Wolfgang
  last_name: Schulz
- first_name: Guenther
  full_name: Heinrichs, Guenther
  last_name: Heinrichs
citation:
  ama: 'Bischoff R, Haeb-Umbach R, Schulz W, Heinrichs G. Employment of a multipath
    receiver structure in a combined GALILEO/UMTS receiver. In: <i>IEEE 55th Vehicular
    Technology Conference (VTC 2002 Spring)</i>. Vol 4. ; 2002:1844-1848 vol.4. doi:<a
    href="https://doi.org/10.1109/VTC.2002.1002940">10.1109/VTC.2002.1002940</a>'
  apa: Bischoff, R., Haeb-Umbach, R., Schulz, W., &#38; Heinrichs, G. (2002). Employment
    of a multipath receiver structure in a combined GALILEO/UMTS receiver. In <i>IEEE
    55th Vehicular Technology Conference (VTC 2002 Spring)</i> (Vol. 4, pp. 1844–1848
    vol.4). <a href="https://doi.org/10.1109/VTC.2002.1002940">https://doi.org/10.1109/VTC.2002.1002940</a>
  bibtex: '@inproceedings{Bischoff_Haeb-Umbach_Schulz_Heinrichs_2002, title={Employment
    of a multipath receiver structure in a combined GALILEO/UMTS receiver}, volume={4},
    DOI={<a href="https://doi.org/10.1109/VTC.2002.1002940">10.1109/VTC.2002.1002940</a>},
    booktitle={IEEE 55th Vehicular Technology Conference (VTC 2002 Spring)}, author={Bischoff,
    Renke and Haeb-Umbach, Reinhold and Schulz, Wolfgang and Heinrichs, Guenther},
    year={2002}, pages={1844–1848 vol.4} }'
  chicago: Bischoff, Renke, Reinhold Haeb-Umbach, Wolfgang Schulz, and Guenther Heinrichs.
    “Employment of a Multipath Receiver Structure in a Combined GALILEO/UMTS Receiver.”
    In <i>IEEE 55th Vehicular Technology Conference (VTC 2002 Spring)</i>, 4:1844–48
    vol.4, 2002. <a href="https://doi.org/10.1109/VTC.2002.1002940">https://doi.org/10.1109/VTC.2002.1002940</a>.
  ieee: R. Bischoff, R. Haeb-Umbach, W. Schulz, and G. Heinrichs, “Employment of a
    multipath receiver structure in a combined GALILEO/UMTS receiver,” in <i>IEEE
    55th Vehicular Technology Conference (VTC 2002 Spring)</i>, 2002, vol. 4, pp.
    1844–1848 vol.4.
  mla: Bischoff, Renke, et al. “Employment of a Multipath Receiver Structure in a
    Combined GALILEO/UMTS Receiver.” <i>IEEE 55th Vehicular Technology Conference
    (VTC 2002 Spring)</i>, vol. 4, 2002, pp. 1844–48 vol.4, doi:<a href="https://doi.org/10.1109/VTC.2002.1002940">10.1109/VTC.2002.1002940</a>.
  short: 'R. Bischoff, R. Haeb-Umbach, W. Schulz, G. Heinrichs, in: IEEE 55th Vehicular
    Technology Conference (VTC 2002 Spring), 2002, pp. 1844–1848 vol.4.'
date_created: 2019-07-12T05:27:12Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
doi: 10.1109/VTC.2002.1002940
intvolume: '         4'
keyword:
- combined GALILEO/UMTS receiver
- delay locked loop
- delay lock loops
- DLL
- Global Positioning System
- GLONASS
- GPS
- GPSIIF/III
- mobile satellite communication
- multipath channels
- multipath receiver structure
- radio receivers
- RAKE receiver
- S-curve
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2002/BiHaScHe02.pdf
oa: '1'
page: 1844-1848 vol.4
publication: IEEE 55th Vehicular Technology Conference (VTC 2002 Spring)
status: public
title: Employment of a multipath receiver structure in a combined GALILEO/UMTS receiver
type: conference
user_id: '44006'
volume: 4
year: '2002'
...