A Dictionary Learning-Based Channel Estimation Method for Ultra-Large MIMO Mixed Fields

By constructing a mixed field channel model based on a dictionary learning method, the problem of inaccurate mixed field channel estimation in the existing technology is solved, and accurate estimation and performance improvement of the mixed field channel are achieved.

CN119210942BActive Publication Date: 2025-10-14SHENZHEN TENGHE INTELLECTUAL PROPERTY TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202411272040.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-09-11
Publication Date
2025-10-14
Estimated Expiration
2044-09-11

AI Technical Summary

Technical Problem

Existing ultra-large-scale MIMO mixed-field channel estimation methods cannot accurately represent the characteristics of mixed-field channels. Existing methods usually use far-field or near-field dictionaries respectively, which cannot adapt to mixed-field communication scenarios.

Method used

A dictionary learning-based method is used to construct a mixed-field channel model. By establishing a mixed-field channel recovery problem and converting it into a dictionary learning problem, the orthogonal matching pursuit algorithm and gradient projection method are used to optimize the dictionary to achieve sparse representation and recovery of the mixed-field channel.

Benefits of technology

It can accurately capture the characteristics of mixed-field channels, achieve accuracy and robustness of channel estimation, and improve channel estimation performance.

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Abstract

The application provides a super-large-scale MIMO mixed field channel estimation method based on dictionary learning, establishes a mixed field channel scene, the scene comprises a base station, at least one near-field scatterer, at least one far-field scatterer and K users; a mixed field channel model is constructed according to the mixed channel scene; and a mixed field channel recovery problem is established according to the mixed field channel model and solved. The application can well capture the channel characteristics of the mixed field channel and realize accurate estimation.
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