Convolutional Neural Networks for Position Estimation in TDoA-based Locating Systems

Niitsoo A, Edelhaeusser T, Mutschler C (2018)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Publisher: IEEE

City/Town: NEW YORK

Pages Range: (to appear)

Conference Proceedings Title: 2018 NINTH INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN 2018)

Event location: Nantes FR

URI: https://www.mad.tf.fau.de/files/2018/07/Convolutional-Neural-Networks-for-Position-Estimation-in-TDoA-based-Locating-Systems.pdf

DOI: 10.1109/IPIN.2018.8533766

Abstract

Object localization and tracking is essential for many applications including logistics and industry. Many local Time-of-Flight (ToF)-based locating systems use synchronized antennas to receive radio signals emitted by mobile tags. They detect the Time-of-Arrival (TOA) of the signal at each antenna and trilaterate the position from the Time Difference-of-Arrival (TDoA) between antennas. However, in multipath scenarios it is difficult to extract the correct ToA. This causes wrong positions.

This paper proposes a signal processing method that uses deep learning to estimate the absolute tag position directly from the raw channel impulse response (CIR) data. We use the CIR together with ground truth positional data to train a convolutional neural network (CNN) that not only estimates non-linearities in the signal propagation space but also analyzes the signal for multipath effects. Our evaluation shows that our position estimation works in multipath environments and also outperforms classical signal processing in line-of-sight situations.

Authors with CRIS profile

Additional Organisation(s)

Involved external institutions

How to cite

APA:

Niitsoo, A., Edelhaeusser, T., & Mutschler, C. (2018). Convolutional Neural Networks for Position Estimation in TDoA-based Locating Systems. In IEEE (Eds.), 2018 NINTH INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN 2018) (pp. (to appear)). Nantes, FR: NEW YORK: IEEE.

MLA:

Niitsoo, Arne, Thorsten Edelhaeusser, and Christopher Mutschler. "Convolutional Neural Networks for Position Estimation in TDoA-based Locating Systems." Proceedings of the 9th International Conference on Indoor Positioning and Indoor Navigation (IPIN), Nantes Ed. IEEE, NEW YORK: IEEE, 2018. (to appear).

BibTeX: Download