Compressive Sensing Based Hardware Design for Channel Estimation of Wideband Millimeter Wave Hybrid MIMO System
Journal
Proceedings - IEEE International Symposium on Circuits and Systems
Date Issued
2022
Author(s)
Abstract
Channel estimation is a crucial issue for hybrid multiple-input multiple-output architecture of wideband wireless millimeter wave system. In this paper, we present a hardware implementation of channel estimation based on compressive sensing method. We exploit sparsity in channel space and take advantage of both the time domain and the frequency domain to effectively reduce the computational complexity. We then disassemble the sensing matrix into smaller dimensional matrices to further simply the sensing formula by utilizing the orthogonality of the DFT codebook. The sensing issue is solved by the generalized orthogonal matching pursuit with Cholesky decomposition techniques, which achieves a significant reduction in the number of computations. Finally, we evaluate the performance of the proposed method with the perfect channel state information, and hardware performance by fixed-point analysis and RTL design and synthesis results. © 2022 IEEE.
Event(s)
2022 IEEE International Symposium on Circuits and Systems, ISCAS 2022
Subjects
channel estimation
compressed sensing
generalized orthogonal matching pursuit
hybrid precoding
millimeter wave communication
sparse signal recovery
Description
Austin, 27 May 2022 through 1 June 2022
Type
conference paper