Year: 2025
Type: conference-paper
Abstract: We study joint compression and detection in distributed sensing systems motivated by emerging applications such as IoT-based localization. Two spatially separated sensors observe noisy signals and can exchange only a k-bit message over a reliable one-way low-rate link. One sensor compresses its observation into a k-bit description to help the other decide whether their observations share a common underlying signal or are statistically independent. We propose a simple extremum-based strategy, in which the encoder sends the index of its largest sample and the decoder performs a scalar threshold test. We derive exact nonasymptotic false-alarm and misdetection probabilities and validate the analysis with representative simulations.
Authors: Amir Weiss, Alejandro Lancho
Institutions: Bar-Ilan University, Universidad Carlos III de Madrid
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: G3543029057, G4171344238, G873222275
OpenAlex ID: W7140528371