Channel Estimation for RIS-Aided mmWave MIMO Systems via Atomic Norm Minimization

Beamspace processing has become much attractive in recent radar and wireless communication applications, since the advantages of complexity reduction and of performance improvements in array signal processing. In this paper, we concentrate on the beamspace DOA estimation of linear array via atomic norm minimization (ANM). The existed generalized linear spectrum estimation based ANM approaches suffer from the high computational complexity for large scale array, since their complexity depends upon the number of sensors. To deal with this problem, we develop a low dimensional semidefinite programming (SDP) implementation of beamspace atomic norm minimization (BS-ANM) approach for DFT beamspace based on the super resolution theory on the semi-algebraic set. Then, a computational efficient iteration algorithm is proposed based on alternating direction method of multipliers (ADMM) approach. We develop the covariance based DOA estimation methods via BS-ANM and apply the BS-ANM based DOA estimation method to the channel estimation problem for massive MIMO systems. Simulation results demonstrate that the proposed methods exhibit the superior performance compared to the state-of-the-art counterparts.

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Atomic norm denoising-based channel estimation for massive multiuser MIMO systems

2015 IEEE International Conference on Communications (ICC) ◽

10.1109/icc.2015.7249042 ◽

2015 ◽

Cited By ~ 5

Author(s):

Peng Zhang ◽

Lu Gan ◽

Sumei Sun ◽

Cong Ling

Keyword(s):

Channel Estimation ◽

Mimo Systems ◽

Multiuser Mimo ◽

Atomic Norm ◽

Multiuser Mimo Systems

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Channel Estimation for Switch-Based Millimeter-Wave Communications via Atomic Norm

International Journal of Antennas and Propagation ◽

10.1155/2021/7356963 ◽

2021 ◽

Vol 2021 ◽

pp. 1-9

Author(s):

Tao Ma ◽

Xiangning Fan ◽

Xiaohuan Wu

Keyword(s):

Channel Estimation ◽

Millimeter Wave ◽

Communication Systems ◽

Multiple Input Multiple Output ◽

Phase Shifters ◽

Estimation Methods ◽

Computational Time ◽

Estimation Performance ◽

Norm Minimization ◽

Atomic Norm

Channel estimation is a challenging issue in millimeter-wave massive multiple-input-multiple-output (MIMO) communication systems due to the large number of antennas in the transceiver. Existing methods are usually based on phase shifters which may not be a simple circuit at mmWave band. In this paper, we construct a switch-based architecture for analog processors from the coarray point of view and then propose an atomic ℓ 0 -norm minimization problem. We then propose an efficient algorithm to solve this problem based on Wirtinger projection. Since the proposed method requires no angle discretization, it does not suffer from grid mismatch effect that greatly deteriorates the estimation performance of grid-based channel estimation methods. Compared to the atomic norm minimization (ANM) method, our method does not involve vectorization of the channel matrix and hence the dimensionality of the problem is much less than that of ANM. We show that our method is able to provide comparable estimation performance to ANM but with much less computational time. Extensive simulations are carried out to verify the effectiveness of our proposed method.

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