Millimeter Wave MIMO Channel Estimation With One-Bit Receivers

Receivers with one-bit analog-to-digital (ADC) converters are considered as a potential solution to reduce the power consumption and hardware complexity for millimeter wave (mmWave) multiple input multiple output systems. However, it is challenging to estimate the mmWave channel with one-bit ADCs be...

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Bibliographic Details
Published in:IEEE communications letters 2022-01, Vol.26 (1), p.158-162
Main Authors: Zhou, Runxin, Du, Huiqin, Zhang, Duoying
Format: Article
Language:English
Subjects:
Algorithms
Channel estimation
Complexity
Converters
Estimation
Infinity
Millimeter waves
MIMO channel estimation
MIMO communication
mmWave
One-bit quantization
Power consumption
Quantization (signal)
Receivers
Scattering
Sparse matrices
Upper bound
Upper bounds
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Summary:Receivers with one-bit analog-to-digital (ADC) converters are considered as a potential solution to reduce the power consumption and hardware complexity for millimeter wave (mmWave) multiple input multiple output systems. However, it is challenging to estimate the mmWave channel with one-bit ADCs because of significant distortions of received signal and a limited scattering nature. In this work, by exploiting the sparse and low-rank properties, we develop a mmWave channel estimation algorithm which can maximize the log-likelihoods under the rank and entry-wise infinity-norm constraints. Instead of using the convex relaxation for rank operation, matrix factorization is introduced to represent the exact rank constraint implicitly. The entry-wise infinity-norm is reformulated via the log-barrier method. The optimum estimation can be obtained iteratively via projected gradient ascent algorithm. Moreover, an upper bound performance of one-bit channel estimation is derived. Simulation results demonstrate that the proposed algorithm can obtain accurate estimation with relatively low computational complexity.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2021.3123368