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• W2962346991 abstract "In this paper, we study blind signal detection by exploiting the hidden sparsity of angular-domain propagation channels in massive MIMO systems. The state-of-the-art approach utilizes the channel sparsity by representing the angular-domain channel with a uniform angle-sampling grid. However, this approach is only applicable to uniform linear arrays and may cause a substantial performance loss due to the energy leakage problem. In contrast to this approach, we deploy a sparse channel representation with a fixed general sampling grid. Based on that, we formulate the blind signal detection problem as an affine matrix factorization task and develop a novel message passing algorithm to estimate the channel and the user signals simultaneously. Unlike the existing approach, the proposed algorithm is applicable to general antenna arrays. Numerical results show that our proposed method significantly reduces the estimation error compared to the state-of-the-art approach by avoiding the leakage of energy." @default.
• W2962346991 created "2019-07-23" @default.
• W2962346991 creator A5004874287 @default.
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• W2962346991 date "2019-05-01" @default.
• W2962346991 modified "2023-09-24" @default.
• W2962346991 title "Message-Passing Based Blind Signal Detection for Massive MIMO with General Antenna Arrays" @default.
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• W2962346991 doi "https://doi.org/10.1109/icc.2019.8761691" @default.
• W2962346991 hasPublicationYear "2019" @default.
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