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Found 7 papers, 3 papers with code
Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
Additionally, the proposed method outperforms the classical MUSIC algorithm in the DoA estimation task.
Unsupervised Learning for Gain-Phase Impairment Calibration in ISAC Systems
Gain-phase impairments (GPIs) affect both communication and sensing in 6G integrated sensing and communication (ISAC).
Joint Communication and Sensing for 6G -- A Cross-Layer Perspective
As 6G emerges, cellular systems are envisioned to integrate sensing with communication capabilities, leading to multi-faceted communication and sensing (JCAS).
Semi-Supervised End-to-End Learning for Integrated Sensing and Communications
Integrated sensing and communications (ISAC) is envisioned as one of the key enablers of next-generation wireless systems, offering improved hardware, spectral, and energy efficiencies.
Model-Based End-to-End Learning for Multi-Target Integrated Sensing and Communication under Hardware Impairments
We propose a novel differentiable version of the orthogonal matching pursuit (OMP) algorithm that is suitable for multi-target sensing and allows for efficient end-to-end learning of the hardware impairments.
Model-Driven End-to-End Learning for Integrated Sensing and Communication
Integrated sensing and communication (ISAC) is envisioned to be one of the pillars of 6G.
End-to-End Learning for Integrated Sensing and Communication
The approach includes the proposal of the AE architecture, a novel ISAC loss function, and the training procedure.
