A 6G-Based Multi-View Reconstruction Approach

Reconstruction is the process of capturing the shape and appearance of real objects, which has been a hot topic in computer vision for decades. Thanks to the improved range and angle resolutions provided by the millimeter wave (mmWave) and massive multiple-input multiple-output (MIMO) techniques, this paper proposes to leverage the 6G technology for the reconstruction of extended targets. In this new field, we aim to explore a multi-view reconstruction scenario. Specifically, a movable user equipment (UE) merely equipped with the 6G transceiver moves to different known sites at different time slots to emit orthogonal frequency-division multiplexing (OFDM) communication signals so as to sense an extended target from multiple angles. Then, the echo signals observed from different sites are fused to recover the shape of the extended target with high resolution. To achieve this goal, we propose a grid-based method, where the whole region is divided into multiple grids, and the probability of the existence of a point target of the extended target at each grid is calculated based on range and angle estimations obtained at multiple time slots. Numerical results show that with echo signals observed from more angles, the probability density map is more accurate, leading to higher-quality target reconstruction.