CNIPA.AI
검색으로 돌아가기
기록

PERFORMANCE AND COMPLEXITY BASED IMPLEMENTATION OF AI AIDED CHANNEL ESTIMATION

발명심사 중
2조회수
20청구항 · 3 독립항
§ Ⅰ

개요

발명자

Mandar Kulkarni; William Xia; Fan Zhang; Xiaochuan Ma; Samuel Albert; Thuy Van Nguyen; Yan Xin; Yang Li; Jianzhong Zhang

IPC 분류

H4L 25/2H4W 24/2

CPC 분류

H4L25/242H4L25/256H4W24/2

A method of channel estimation includes: receiving, at a first electronic device, a signal from a second electronic device on a channel, the received signal modified by a noise, the channel associated with a channel matrix; obtaining a noisy channel based on the received signal and a least squares estimate of the channel matrix; preprocessing the noisy channel to remove at least one of a timing offset, a multiuser interference, or an intercell interference; inputting the preprocessed noisy channel to a CE model trained to perform CE based on the preprocessed noisy channel, the CE model comprising residual learning networks; and estimating the channel matrix based on denoising of the preprocessed noisy channel.

원문 (중국어)

A method of channel estimation includes: receiving, at a first electronic device, a signal from a second electronic device on a channel, the received signal modified by a noise, the channel associated with a channel matrix; obtaining a noisy channel based on the received signal and a least squares estimate of the channel matrix; preprocessing the noisy channel to remove at least one of a timing offset, a multiuser interference, or an intercell interference; inputting the preprocessed noisy channel to a CE model trained to perform CE based on the preprocessed noisy channel, the CE model comprising residual learning networks; and estimating the channel matrix based on denoising of the preprocessed noisy channel.