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Integrated Sensing and Communications
Integrated sensing and communications (ISAC) is a key enabler for B5G/6G systems, offering benefits in hardware efficiency and spectrum reuse. A central challenge in ISAC is clutter suppression—removing unwanted reflections from static objects, which is essential for reliable target detection. While prior studies assume static clutter has zero Doppler, this assumption is violated in mobile ISAC scenarios where the transceiver is in motion and clutter exhibits non-negligible Doppler shifts. To address this problem, our research group developed a space-time adaptive processing for ISAC systems (ISAC-STAP) algorithm. This method suppresses clutter by utilizing neighboring range cells and detects targets, even in the presence of transceiver mobility, making it suitable for applications such as SLAM and V2X in dynamic environments.
Fig. 1. Normalized power spectrum [dB] at the range cell of target 1
[Related publication]
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N. Lee, H. Park, H. Kim, K. Jung, and S. Kim, “ISAC-STAP: Space-time adaptive processing for ISAC systems,” in Proc. 2024 IEEE Glob. Commun. Conf. Workshops (GLOBECOM Workshops), Cape Town, South Africa, Dec. 2024.
Traditional near-field beam tracking methods relying on mobility models are fatal in ultra-massive MIMO systems, where even the slightest error could result in beam tracking failures. Thus, the proposed near-field tracking aims to maintain a stable beamforming gain by tracking the mobile station through the
analysis of received signals without requiring mobile dynamics.
By utilizing deep Q-network, the proposed algorithm strengthens its tracking capability from online experiences and updates the combining beam towards positions expected to maximize beamforming gain. Throughout simulations, we compare the proposed algorithm with the Bayesian filter-based methods and confirmed the robustness of the proposed method, especially for abrupt changes in mobile dynamics.
Fig. 1. Procedure for the proposed near-field tracking
Fig. 2. Near-field tracking results for mobile user
[Related publication]
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