RSS-Based Localization of Multiple Radio Transmitters via Blind Source Separation

Proceedings Paper Engineering, Electrical & Electronic

RSS-based Localization of Multiple Unknown Transmitters through Particle Simulation

Philipp Schulz et al.

Summary: The paper proposes a novel approach based on received signal strength (RSS) to iteratively localize one or multiple transmitters with a cooperative sensing network through particle simulation, incorporating a transmit power estimation. This joint design is of considerable benefit for dynamic network optimization especially in varying environments, and the RSS-based approach is widely independent from the specific wireless technology, considering spatio-temporally correlated shadowing. The proposal is evaluated for accuracy and computation time considering a path loss model for an industrial scenario.

2021 1ST IEEE INTERNATIONAL ONLINE SYMPOSIUM ON JOINT COMMUNICATIONS & SENSING (JC&S) (2021)

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Article Engineering, Electrical & Electronic

Blind Wireless Network Topology Inference

Enrico Testi et al.

Summary: This study proposes a framework for discovering the topology of wireless networks using RF sensors, with blind methods to sense unknown network features. By utilizing blind source separation and measurement association to handle mixed over-the-air signals, the framework achieves high link detection probability and moderate false alarm rate through causal inference methods for detecting data flows among nodes.

IEEE TRANSACTIONS ON COMMUNICATIONS (2021)

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Article Engineering, Electrical & Electronic