Chair of Information and Coding Theory

Journal Publication on Localization

Apr 14, 2020

S. Zhang, E. Staudinger, T. Jost, W. Wang, C. Gentner, A. Dammann, H. Wymeersch, and P.A. Hoeher,
"Distributed direct localization suitable for dense networks," IEEE Transactions on Aerospace and Electronic Systems, vol. 56, no. 2, pp. 1209-1227, Apr. 2020. DOI


Traditional network localization algorithms contain ranging and localization steps, which have systematic disadvantages. We propose an algorithm dubbed direct particle filter based distributed network localization (DiPNet). A node's location is directly estimated from the received signals, incorporating location uncertainty of neighboring nodes. The propagation effects on DiPNet become insignificant for dense networks, due to the massive-link collective physical layer processing. DiPNet achieves a near-optimal performance with low complexity, which is particularly attractive for realtime dense-network localization.