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Deep-Learning-Based Channel Estimation for IRS-Assisted ISAC System
A deep-learning framework is proposed to estimate the sensing and communication (S&C) channels in such a system.
Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication System
This problem is challenging due to the lack of signal processing capacity in passive IRS, as well as the presence of mutual interference between sensing and communication (SAC) signals in ISAC systems.
Extreme Learning Machine-based Channel Estimation in IRS-Assisted Multi-User ISAC System
Multi-user integrated sensing and communication (ISAC) assisted by intelligent reflecting surface (IRS) has been recently investigated to provide a high spectral and energy efficiency transmission.
Low-complexity and Low-overhead Receiver for OTFS via Large-scale Antenna Array
Then the identified signal from each angle in the delay-Doppler domain reduces to a flat-faded signal, which can be simply equalized using the channel information estimated by our pilot pattern.
