Channel estimation of multi-user millimeter wave massive MIMO system based on random grid tensor decomposition
By using the sparse scattering characteristics of the millimeter wave channel and the spatial structure of the tensor, a channel estimation method based on random grid tensor decomposition was proposed. The received signal was represented as a fourth-order tensor and the user channel was decoupled b...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Academic Journals Center of Shanghai Normal University
2021-01-01
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| Series: | Journal of Shanghai Normal University (Natural Sciences) |
| Subjects: | |
| Online Access: | http://qktg.shnu.edu.cn/zrb/shsfqkszrb/ch/reader/view_abstract.aspx?file_no=20210115 |
| Summary: | By using the sparse scattering characteristics of the millimeter wave channel and the spatial structure of the tensor, a channel estimation method based on random grid tensor decomposition was proposed. The received signal was represented as a fourth-order tensor and the user channel was decoupled by random tensor compression. After that, using grid tensor decomposition method, the large-scale user channel tensor was decomposed into several small-scale tensors, by which all sub-tensors are decomposed in parallel and independently, and the channel parameters were estimated according to the correlation factor matrix. The simulation results showed that the algorithm was able to obtain more accurate channel parameter estimation, which reduced the complexity of the channel estimation algorithm effectively. |
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| ISSN: | 1000-5137 1000-5137 |