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Erschienen in:
12.03.2019
DFT-Based Low-Complexity Channel Estimation Method for Millimeter-Wave MIMO Systems
Erschienen in: Wireless Personal Communications | Ausgabe 1/2019
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Abstract
In this paper, a low-complexity channel estimation method is proposed for single-user millimeter-wave MIMO systems, which is applicable to both uniform linear array and uniform planar array structures. Through applying the discrete Fourier transform (DFT) basis to jointly represent the channel matrix and design the pilot beams such that the product of the pilot beam matrix with the inverse DFT is a unitary matrix, the received pilot signal can be approximately expressed as a scaled version of channel representation coefficients. Thus, the channel matrix can be estimated directly by two times of matrix multiplication. More specifically, multiply the received pilot signal with DFT matrix on the left and inverse DFT in the right. Analytical and simulation results show that the proposed method has lower computational complexity and better estimation accuracy than the least square and compressed channel sensing using orthogonal matching pursuit.