Multipath components tracking adapted to integrated IR-UWB receivers for improved indoor navigation. Maceraudi, J., Dehmas, F., Denis, B., & Uguen, B. In 2016 24th European Signal Processing Conference (EUSIPCO), pages 753-757, Aug, 2016.
Multipath components tracking adapted to integrated IR-UWB receivers for improved indoor navigation [pdf]Paper  doi  abstract   bibtex   
In this paper, we propose a solution adapted to Impulse Radio - Ultra Wideband (IR-UWB) integrated receivers devoted to indoor localization, making usage of multipath information under imposed time resolution and low complexity constraints. The Multipath Components (MPCs) can ideally be tracked by capturing their space-time correlation under mobility. The proposed architecture is composed of Multiple Hypothesis Kalman Filters (MHKFs) in parallel, each filter tracking one single MPC while detecting measurement outliers or maneuvering paths. A data association procedure enables to map the MHKFs' outputs onto delays associated with receiver's energy bins. The relative temporal variations of MPCs are used to collectively infer the missing direct path's information in case of Non-Line of Sight (NLoS). The corrected observations finally feed a conventional Extended Kalman Filter (EKF) that estimates mobile's position. We evaluate the performance of the proposed scheme through realistic simulations in terms of both MPC and mobile tracking.
@InProceedings{7760349,
  author = {J. Maceraudi and F. Dehmas and B. Denis and B. Uguen},
  booktitle = {2016 24th European Signal Processing Conference (EUSIPCO)},
  title = {Multipath components tracking adapted to integrated IR-UWB receivers for improved indoor navigation},
  year = {2016},
  pages = {753-757},
  abstract = {In this paper, we propose a solution adapted to Impulse Radio - Ultra Wideband (IR-UWB) integrated receivers devoted to indoor localization, making usage of multipath information under imposed time resolution and low complexity constraints. The Multipath Components (MPCs) can ideally be tracked by capturing their space-time correlation under mobility. The proposed architecture is composed of Multiple Hypothesis Kalman Filters (MHKFs) in parallel, each filter tracking one single MPC while detecting measurement outliers or maneuvering paths. A data association procedure enables to map the MHKFs' outputs onto delays associated with receiver's energy bins. The relative temporal variations of MPCs are used to collectively infer the missing direct path's information in case of Non-Line of Sight (NLoS). The corrected observations finally feed a conventional Extended Kalman Filter (EKF) that estimates mobile's position. We evaluate the performance of the proposed scheme through realistic simulations in terms of both MPC and mobile tracking.},
  keywords = {indoor navigation;Kalman filters;radio receivers;radionavigation;multipath components tracking;IR-UWB receivers;indoor navigation;impulse radio-ultra wideband integrated receivers;indoor localization;space-time correlation;multiple hypothesis Kalman filters;extended Kalman filter;EKF;mobile tracking;Mobile communication;Delays;Receivers;Channel estimation;Technological innovation;Europe;Signal processing;Data Association;Impulse Radio;Indoor Localization;Integrated Devices;Mulipath Components;Pedestrian Navigation;Time of Arrival;Tracking Filter;Ultra Wideband},
  doi = {10.1109/EUSIPCO.2016.7760349},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570256246.pdf},
}
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