Channel Estimation Algorithm for Reconfigurable Intelligent Surface Aided Millimeter Wave Systems

GUO Tian; ZHANG Xuhui; WU Yujia; WANG Yue

doi:10.11999/JEIT221232

Volume 45 Issue 10

Oct. 2023

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GUO Tian, ZHANG Xuhui, WU Yujia, WANG Yue. Channel Estimation Algorithm for Reconfigurable Intelligent Surface Aided Millimeter Wave Systems[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3612-3621. doi: 10.11999/JEIT221232

Citation:

GUO Tian, ZHANG Xuhui, WU Yujia, WANG Yue. Channel Estimation Algorithm for Reconfigurable Intelligent Surface Aided Millimeter Wave Systems[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3612-3621. doi: 10.11999/JEIT221232

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Channel Estimation Algorithm for Reconfigurable Intelligent Surface Aided Millimeter Wave Systems

doi: 10.11999/JEIT221232

GUO Tian^{1
,
,},
ZHANG Xuhui^{1, 2},
WU Yujia¹,
WANG Yue¹

1.
College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
2.
Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Monitoring, Xi’an 710054, China

Funds: The National Natural Science Foundation of China (52104166), The Innovative Talents Program of Shaanxi Province (2018TD-032)

Received Date: 2022-09-22
Rev Recd Date: 2023-02-03

Available Online: 2023-02-09

Publish Date: 2023-10-31

Abstract

Abstract

As the channel status information is difficult to obtain in Reconfigurable Intelligent Surface(RIS) aided millimeter wave communication. The radio frequency chain is provided in some passive elements of RIS to assist channel estimation and estimate the channel between Base Station(BS)/User Equipment(UE) and RIS. Inspired by the structure, a low complexity channel estimation method is proposed. First, the two-dimensional angle estimation problem is transformed into two one-dimensional angle estimation Semi-positive definite programming (SDP) problem by the Atomic Norm Minimization(ANM) method.Second, an Alternating Direction Method of Multipliers(ADMM) algorithm is proposed to solve the Semi-Definite Programming (SDP) problem. Based on the ADMM algorithm, the algorithm applies momentum gradient descent method to avoid the inverse operation of the matrix, and improves the channel estimation accuracy by joint optimizing between a iteration step and channel parameters. Finally, the path gain estimation is obtained by using the signal angle and channel matrix. Simulation results show that the proposed algorithm has better channel estimation performance, and based on the system parameter set, the proposed algorithm has a low complexity.

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References(19)

References

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