A low complexity OMP sparse channel estimation algorithm in OFDM system

Shaochen Zhang, Lijun Xu, Shefeng Yan

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

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.

源语言英语
主期刊名Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781665429184
DOI
出版状态已出版 - 17 8月 2021
活动2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021 - Xi�an, 中国
期限: 17 8月 202119 8月 2021

出版系列

姓名Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021

会议

会议2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021
国家/地区中国
Xi�an
时期17/08/2119/08/21

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