2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDASPS-3.6
Paper Title REDUCED-COMPLEXITY CHANNEL ESTIMATION BY HIERARCHICAL INTERPOLATION EXPLOITING SPARSITY FOR MASSIVE MIMO SYSTEMS WITH UNIFORM RECTANGULAR ARRAY
Authors Chi-Shiang Wang, Pei-Yun Tsai, National Central University, Taiwan
SessionASPS-3: IoT
LocationGather.Town
Session Time:Thursday, 10 June, 13:00 - 13:45
Presentation Time:Thursday, 10 June, 13:00 - 13:45
Presentation Poster
Topic Applied Signal Processing Systems: Signal Processing Systems [DIS-EMSA]
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Angle reciprocity is an important property adopted for massive MIMO channel estimation. For systems equipped with uniform rectangular antenna array, two-dimensional fast Fourier transform (2D-FFT) is often employed to transform the information in the spatial domain to the angular domain. To save the complexity, we propose hierarchical channel interpolation algorithm by exploiting the channel sparsity in the millimeter wave frequency band. Local interpolation with fine resolution is only applied to the selected regions determined from the coarse interpolation for obtaining required angular information so as to eliminate the unnecessary computations. Furthermore, the interference caused by the energy leakage from the adjacent paths is cancelled to acquire better estimation results of path gains. From the performance simulation results, the proposed algorithm can achieve better channel estimation performance than the zero-padded and phase-rotated 2D-FFT algorithms with reduced complexity for acquiring angular information.