A mmWave Massive MIMO Channel Estimation Based on Joint Weighted#br#
and Truncated Nuclear Norm

doi:10.3969/j.issn.1006-2475.2024.04.001

Abstract

Abstract: Abstract： In this paper， a millimeter-wave massive multiple input multiple output （MIMO） channel estimation algorithm based on joint weighted and truncated nuclear norm is proposed. Aiming at the problem of high training and feedback overhead in millimeter-wave massive MIMO channel estimation， firstly， the channel estimation problem is transformed into a low-rank matrix recovery problem by using the sparse antenna angle domain of millimeter-wave channel. An effective and flexible rank function， the joint weighted and truncated kernel norm， is adopted as the relaxation of the nuclear norm， and a new matrix recovery model is constructed for channel estimation. The optimization objective is to minimize the weighted and truncated nuclear norm， and it is solved by an alternating optimization framework. The simulation results show that this method can effectively improve the accuracy of channel estimation and has reliable convergence.

Key words: Key words： low rank matrix recovery, millimeter wave massive MIMO, channel estimation, truncated nuclear norm

CLC Number:

TN929.5

ZHANG Zhineng, HUANG Xuejun. A mmWave Massive MIMO Channel Estimation Based on Joint Weighted#br# and Truncated Nuclear Norm[J]. Computer and Modernization, 2024, 0(04): 1-4.

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A mmWave Massive MIMO Channel Estimation Based on Joint Weighted#br# and Truncated Nuclear Norm

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