arXiv · 2503.22340
Multi-Target Acquisition in Multistatic MIMO-OFDM Joint Sensing and Communication
Abstract
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.
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Elisabetta Matricardi, Lorenzo Pucci, Elia Favarelli, Enrico Paolini, Andrea Giorgetti. 2025-03-28. Multi-Target Acquisition in Multistatic MIMO-OFDM Joint Sensing and Communication. https://arxiv.org/abs/2503.22340
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