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.
Distributed Direct Localization Suitable for Dense Networks
IEEE Transactions on Aerospace and Electronic Systems ; 56 , 2 ; 1209-1227
2020-04-01
3408791 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Distributed Direct Localization Suitable for Dense Networks
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