FAS channels are represented as AR(p) Gauss-Markov processes to derive the optimal MMSE interpolator, a tight lower bound on required observations, and a Kalman filter achieving that optimum with O(N) complexity.
Design and experimental validation of mmWave surface wave enabled fluid antennas for future wireless communications
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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The paper introduces diffusion FAS, a DDPM-driven spatial selection method that enables generative spatial stealth (up to 100x suppression) and target isolation in object-side ISAC scenarios.
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Beyond Covariance: Generative Spatial Correlation Modeling and Channel Interpolation for Fluid Antenna Systems
FAS channels are represented as AR(p) Gauss-Markov processes to derive the optimal MMSE interpolator, a tight lower bound on required observations, and a Kalman filter achieving that optimum with O(N) complexity.
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Diffusion Fluid Antenna Systems for Resilient ISAC
The paper introduces diffusion FAS, a DDPM-driven spatial selection method that enables generative spatial stealth (up to 100x suppression) and target isolation in object-side ISAC scenarios.