Multi-Target Acquisition in Multistatic MIMO-OFDM Joint Sensing and Communication

Fuente: arXiv
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Main Authors: Matricardi, Elisabetta, Pucci, Lorenzo, Favarelli, Elia, Paolini, Enrico, Giorgetti, Andrea
Format: Preprint
Published: 2025
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author Matricardi, Elisabetta
Pucci, Lorenzo
Favarelli, Elia
Paolini, Enrico
Giorgetti, Andrea
author_facet Matricardi, Elisabetta
Pucci, Lorenzo
Favarelli, Elia
Paolini, Enrico
Giorgetti, Andrea
contents In this work, we investigate a multistatic MIMO-OFDM joint sensing and communication (JSC) system that leverages cooperation among spatially distributed base stations (BSs) to detect and localize multiple targets through soft fusion of range-angle maps. We propose an innovative selective data fusion strategy that combines only the most reliable regions of range-angle maps from each bistatic pair, mitigating the adverse effects of residual clutter and target smearing inherent to bistatic configurations. To further enhance multi-view perception, we introduce a round-robin transmitter role strategy, enabling BSs to cooperate and exploit target spatial diversity. Finally, we assess the system performance in a cluttered environment using the generalized optimal subpattern assignment (GOSPA) and root mean squared error (RMSE) metrics, demonstrating the effectiveness of our approaches in improving detection and localization.
format Preprint
id arxiv_https___arxiv_org_abs_2503_22340
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Multi-Target Acquisition in Multistatic MIMO-OFDM Joint Sensing and Communication
Matricardi, Elisabetta
Pucci, Lorenzo
Favarelli, Elia
Paolini, Enrico
Giorgetti, Andrea
Signal Processing
In this work, we investigate a multistatic MIMO-OFDM joint sensing and communication (JSC) system that leverages cooperation among spatially distributed base stations (BSs) to detect and localize multiple targets through soft fusion of range-angle maps. We propose an innovative selective data fusion strategy that combines only the most reliable regions of range-angle maps from each bistatic pair, mitigating the adverse effects of residual clutter and target smearing inherent to bistatic configurations. To further enhance multi-view perception, we introduce a round-robin transmitter role strategy, enabling BSs to cooperate and exploit target spatial diversity. Finally, we assess the system performance in a cluttered environment using the generalized optimal subpattern assignment (GOSPA) and root mean squared error (RMSE) metrics, demonstrating the effectiveness of our approaches in improving detection and localization.
title Multi-Target Acquisition in Multistatic MIMO-OFDM Joint Sensing and Communication
topic Signal Processing
url https://arxiv.org/abs/2503.22340