ARTIFICIAL INTELLIGENCE BASED CHANNEL ESTIMATION FOR WIRELESS COMMUNICATION SYSTEMS
개요
발명자
Yan Xin; Lucas Carrit Delgado Pinheiro; William Xia; Murat Bayraktar; Mandar Kulkarni; Xiaochuan Ma; Samuel Albert; Yang Li; Jianzhong Zhang
IPC 분류
CPC 분류
A method for channel estimation includes: receiving, by a first electronic device, a signal indicative of a state of a channel from a second electronic device, the signal being associated with a channel matrix and corrupted by a noise; obtaining a noisy image of the channel in a first domain, the noisy image being a least squares estimate of the channel matrix; transforming the noisy image into a second domain; and performing channel estimation (CE) of the channel based on (i) the transformed noisy image, (ii) a CE model configured to denoise an input signal, and (iii) a sparsity of channel state information (CSI) in the transformed noisy image in the second domain.
원문 (중국어)
A method for channel estimation includes: receiving, by a first electronic device, a signal indicative of a state of a channel from a second electronic device, the signal being associated with a channel matrix and corrupted by a noise; obtaining a noisy image of the channel in a first domain, the noisy image being a least squares estimate of the channel matrix; transforming the noisy image into a second domain; and performing channel estimation (CE) of the channel based on (i) the transformed noisy image, (ii) a CE model configured to denoise an input signal, and (iii) a sparsity of channel state information (CSI) in the transformed noisy image in the second domain.