Distributed Direct Localization Suitable for Dense Networks
Artikel i vetenskaplig tidskrift, 2019
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.
Signal to noise ratio
Fisher information (FI)
distributed particle filter
direct position estimation (DPE)