@inproceedings{7f46310d68214d9cb7012a0eda9c1f86,
title = "Joint AoA and Channel Estimation for Pulse-shpaed SIMO-OFDM systems",
abstract = "Beamforming has been considered a crucial technique in 5G era. To perform received beamforming, one must know the information of angle-of-arrival (AoA). This paper considers AoA estimation in single-input-multiple-output (SIMO) pilot-assisted OFDM systems. Exploiting the sparsity of the wireless channel, we can first efficiently estimate channel impulse response with a compressive-sensing based technique. However, existing works often do not take the pulse-shaping effect into account, resulting in poor performance in real-world systems. We propose a basisadaptive block sparse Bayesian learning framework to solve the problem. Once the CIRs corresponding to received antennas are obtained, AoAs can then be estimated accordingly.",
keywords = "Angle-of-arrival (AoA), block sparse Bayesian learning (BSBL), channel estimation, compressive sensing (CS), orthogonal frequency-division multiplexing (OFDM), pulse-shaping",
author = "Horng, {Cian Ya} and Wen-Rong Wu and Huang, {Din Hwa}",
year = "2019",
month = jan,
day = "31",
doi = "10.1109/ICDSP.2018.8631818",
language = "English",
series = "International Conference on Digital Signal Processing, DSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018",
address = "United States",
note = "23rd IEEE International Conference on Digital Signal Processing, DSP 2018 ; Conference date: 19-11-2018 Through 21-11-2018",
}