Abstract
In millimeter wave(mmWave) massive multiple-input multiple-output (MIMO) system with hybrid precoding structure, the channel estimation is a huge challenge. The paper proposes an effective channel estimation algorithm based on \(l_{{1/2}}\)-SVD idea. The first step is to establish an objective function composed of the weighted sum of \(l_{{1/2}}\)-regular term and error constraint term. Then the singular value decomposition (SVD) pretreatment is used to decrease the selection of the initial value of the angle parameter in the iterative weighting process. Next, the estimated value of the angle parameter is obtained by the gradient descent method. Simulation results exhibit that the proposed scheme has better accuracy than traditional channel estimation algorithms.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (No. 61861015 and 61961013), Key Research and Development Program of Hainan Province (No. ZDYF2019011), National Key Research and Development Program of China (No. 2019CXTD400), Young Elite Scientists Sponsorship Program by CAST (No. 2018QNRC001), and the Scientific Research Setup Fund of Hainan University (No. KYQD(ZR) 1731).
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Jing, X., Wang, X., Lan, X., Wan, L. (2023). \({{\varvec{l}}}_{{\varvec{1/2}}}\)-SVD Based Channel Estimation for MmWave Massive MIMO. In: Jain, L.C., Kountchev, R., Zhang, K., Kountcheva, R. (eds) Advances in Wireless Communications and Applications. ICWCA 2021. Smart Innovation, Systems and Technologies, vol 299. Springer, Singapore. https://doi.org/10.1007/978-981-19-2255-8_2
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DOI: https://doi.org/10.1007/978-981-19-2255-8_2
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