双IRS辅助太赫兹大规模MIMO系统的宽带信道估计方案

doi:10.12305/j.issn.1001-506X.2026.01.32

Abstract

Abstract:

The deployment of double intelligent reflecting surfaces （IRS） in terahertz （THz） massive multiple-input multiple-output （MIMO） systems can lead to higher beamforming gains, providing an effective solution to address the severe path loss in THz channels. In response to the channel estimation problem of double IRS-assisted THz massive MIMO systems, a low-complexity, low-pilot-overhead channel estimation scheme based on a broadband dictionary is proposed. Firstly, a wideband dictionary correlated with subcarrier frequencies is constructed. Then, based on the sparse structure of the channel, angle estimation is performed for the reflective links of the IRS, obtaining angle information between the base station and IRS in the cascaded channel. Finally, the wideband dictionary matrix compression is conducted based on angle estimation results, and multi-user wideband cascaded channel estimation is accomplished using the orthogonal matching pursuit algorithm. Simulation results show that the proposed channel estimation scheme effectively reduces pilot overhead and lowers computational complexity by 25%, while ensuring the accuracy of channel estimation.

Key words: intelligent reflecting surface (IRS), terahertz, massive multiple-input multiple-output (MIMO), wideband channel estimation

CLC Number:

TN 929.5

Yan LIANG, Baolong LI, Haozhang WEI, Fei LI. Double IRS-assisted wideband channel estimation scheme for terahertz massive MIMO systems[J]. Systems Engineering and Electronics, 2026, 48(1): 361-371.

Figures/Tables 11

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References 21

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参数	参数值
IRS₂-BS，IRS₁-BS，IRS₁- IRS₂，UE- IRS₂，UE-IRS₁间距/m	10，45，45，45，10
IRS子表面数$ {N_1} $，$ {N_2} $	$ 25 $
子表面反射单元数	25
距离为1 m时的路径损耗$ {\gamma _0} $/dB	−30
路径损耗指数$ \xi $	2.2/2.8
载波频率/GHz	100
BS天线数	256
子载波总个数	64
路径数${L_1}$，${L_2}$，${L_3}$，${L_4}$，${L_5}$	3

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Double IRS-assisted wideband channel estimation scheme for terahertz massive MIMO systems

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