RSS-based Localization of Multiple Unknown Transmitters through Particle Simulation
Schulz P, Franchi N, Fettweis G (2021)
Publication Type: Conference contribution
Publication year: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: 2021 1st IEEE International Online Symposium on Joint Communications and Sensing, JC and S 2021
Event location: Dresden
ISBN: 9781665441070
DOI: 10.1109/JCS52304.2021.9376357
Abstract
The positions of wireless transmitters constitute valuable information for efficient dynamic radio resource planning, especially when resources are limited and communications is expected to be reliable and resilient. Moreover, in case there are unintended transmitters, i. e., jammers, the ability to localize them becomes even more important, in order to react and initiate appropriate countermeasures to finally recover operational mode. A joint design of transmitter sensing and radio resource utilization is of considerable benefit for dynamic network optimization especially in varying environments. In this paper, we propose a novel approach based on received signal strength (RSS) to iteratively localize one or multiple transmitters with a cooperative sensing network through particle simulation. By incorporating a transmit power estimation, the transmitters can be known or unknown. In particular, our RSS-based approach is widely independent from the specific wireless technology. Thereby, spatiotemporally correlated shadowing is considered. Our proposal is evaluated for accuracy and computation time considering a path loss model for an industrial scenario.
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How to cite
APA:
Schulz, P., Franchi, N., & Fettweis, G. (2021). RSS-based Localization of Multiple Unknown Transmitters through Particle Simulation. In 2021 1st IEEE International Online Symposium on Joint Communications and Sensing, JC and S 2021. Dresden, DE: Institute of Electrical and Electronics Engineers Inc..
MLA:
Schulz, Philipp, Norman Franchi, and Gerhard Fettweis. "RSS-based Localization of Multiple Unknown Transmitters through Particle Simulation." Proceedings of the 1st IEEE International Online Symposium on Joint Communications and Sensing, JC and S 2021, Dresden Institute of Electrical and Electronics Engineers Inc., 2021.
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