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This paper proposes an #integrated #sensing and #communication (#ISAC) framework based on the #orthogonal #time-#frequency #space (#OTFS) modulation scheme for #millimeter #wave (#mmWave) #multiple-#input #multiple-#output (#MIMO) #dual #functional #radar #and #communication (#DFRC) systems. Initially, the authors derive the #delay-#Doppler (#DD)-domain end-to-end input-output model for a #phased-#array #ISAC (#PA-#ISAC) system, which employs a single #RF #chain (#RFC) both at the DFRC #base #station (#BS) and at the# user #equipment (#UE). Furthermore, a #Bayesian #learning (#BL) based two-stage procedure is developed for transceiver design followed by radar target parameter and channel estimation in PA-ISAC systems, which efficiently exploits the sparsity of the signal scattering environment. Next, the transceiver design, parameter learning, and channel estimation procedures are extended to an #OTFS-#aided #mmWave #MIMO #ISAC (#mM-#ISAC) system, wherein multiple RFCs are employed at the DFRC BS and UE, leading to improved sensing and enhanced data rates. ----Meesam Jafri, Prof. Suraj Srivastava, Aditya K Jagannatham More details can be found at this link: https://lnkd.in/dsDsvVbh

Sparse Target Parameter and Channel Estimation in mmWave MIMO OTFS-aided Integrated Sensing and Communication Systems

Sparse Target Parameter and Channel Estimation in mmWave MIMO OTFS-aided Integrated Sensing and Communication Systems

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