@inproceedings{ef4b969659ab4fa0aad7e69feba79903,
title = "Compressive Sensing Based Hardware Design for Channel Estimation of Wideband Millimeter Wave Hybrid MIMO System",
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.",
keywords = "channel estimation, compressed sensing, generalized orthogonal matching pursuit, hybrid precoding, millimeter wave communication, sparse signal recovery",
author = "Tu, {Chung Lun} and Lin, {Tse Yuan} and Chiu, {Kang Lun} and Jou, {Shyh Jye} and Tsai, {Pei Yun}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Symposium on Circuits and Systems, ISCAS 2022 ; Conference date: 27-05-2022 Through 01-06-2022",
year = "2022",
doi = "10.1109/ISCAS48785.2022.9937898",
language = "English",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2496--2500",
booktitle = "IEEE International Symposium on Circuits and Systems, ISCAS 2022",
address = "United States",
}