Pan MAO, Xiaoguang HUANG, Wei WANG, et al. Massive MIMO channel estimation and feedback based on compressed sensing[J]. Telecommunications science, 2018, 34(12): 46-52.
DOI:
Pan MAO, Xiaoguang HUANG, Wei WANG, et al. Massive MIMO channel estimation and feedback based on compressed sensing[J]. Telecommunications science, 2018, 34(12): 46-52. DOI: 10.11959/j.issn.1000-0801.2018288.
Massive MIMO channel estimation and feedback based on compressed sensing
Focused on the issue that the problem of low precision of channel estimation and complex feedback scheme in massive MIMO system
a compression sampling matching pursuit (BCC-CoSAMP) algorithm based on coefficient correlation was proposed in the differential channel estimation and feedback scheme.In this algorithm
the inner product of the relationship between two vectors in the CoSAMP algorithm was replaced by the vector relation based on the correlation coefficient
so the atoms with strong correlation of the original signal were quickly selected to improve the accuracy of channel estimation.The simulation results show that the proposed BCC-CoSAMP algorithm has an improved channel estimation accuracy compared with the CoSAMP algorithm and an average increase of the total system rate of 1.25 bit/(s.Hz) at low signal to noise ratio (SNR).
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references
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