US Patent Application 18323258. METHOD AND APPARATUS FOR CHANNEL ESTIMATION IN COMMUNICATION SYSTEM simplified abstract

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METHOD AND APPARATUS FOR CHANNEL ESTIMATION IN COMMUNICATION SYSTEM

Organization Name

ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor(s)

An Seok Lee of Daejeon (KR)

Yong Jin Kwon of Daejeon (KR)

Han Jun Park of Daejeon (KR)

Heesoo Lee of Daejeon (KR)

Yun Joo Kim of Daejeon (KR)

Hyun Seo Park of Daejeon (KR)

Jung Bo Son of Daejeon (KR)

Yu Ro Lee of Daejeon (KR)

METHOD AND APPARATUS FOR CHANNEL ESTIMATION IN COMMUNICATION SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18323258 titled 'METHOD AND APPARATUS FOR CHANNEL ESTIMATION IN COMMUNICATION SYSTEM

Simplified Explanation

The patent application describes a method for operating a receiver in a wireless communication system.

  • The receiver receives reference signals from a transmitter across the entire frequency band.
  • It generates first channel information by estimating the channel characteristics for each of the received reference signals.
  • The first channel information is then processed using a first artificial neural network to remove any noise and improve the accuracy.
  • The second channel information is generated after noise removal and is used to generate third channel information for the entire frequency band using a second artificial neural network.
  • The method aims to improve the accuracy of channel estimation in wireless communication systems.


Original Abstract Submitted

An operation method of a receiver may comprise: receiving reference signals from a transmitter in an entire use band; generating first channel information by performing channel estimation on each of the reference signals; generating second channel information by removing noises from the first channel information using a first artificial neural network; and generating third channel information for a grid of the entire use band based on the second channel information using a second artificial neural network.