@inproceedings{4f41efa432f44d1fbfdc320fe38f93c9,
title = "A low complexity OMP sparse channel estimation algorithm in OFDM system",
abstract = "Channel estimation is the key to underwater acoustic OFDM systems. Considering the sparsity of the underwater acoustic channel, compressed sensing is used for channel estimation. However, many existing algorithms are either too complicated or cannot guarantee the accuracy of reconstruction. Therefore, a fast twice orthogonal matching pursuit (TOMP) channel estimation algorithm is proposed. The orthogonality of some measurement atoms is exploited to eliminate the iteration steps in the first OMP, and the number of measurement atoms is reduced according to the relationship between the different over-sampling factors of the measurement matrix in the second OMP. Compared with the conventional OMP algorithm, TOMP can reduce by about 2/3 computational complexity, and maintain accuracy in the sparse underwater acoustic channel estimation. Both the simulation and the sea experiment in the south China sea results show the feasibility of proposed algorithm.",
keywords = "OFDM, OMP algorithm, Sparse channel estimation, compressive sensing, low complexity",
author = "Shaochen Zhang and Lijun Xu and Shefeng Yan",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021 ; Conference date: 17-08-2021 Through 19-08-2021",
year = "2021",
month = aug,
day = "17",
doi = "10.1109/ICSPCC52875.2021.9565070",
language = "English",
series = "Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021",
address = "United States",
}