Sparse channel estimation for OFDM based on IOMP algorithm under unknown sparsity-Reference-Cited by-同舟云学术

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Sparse channel estimation for OFDM based on IOMP algorithm under unknown sparsity

Published:2021-09-16 Issue:7 Volume:27 Page:5029-5038
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Zheng Zhian,Liu Jianjian^ORCID,Zhu Junjie,Huang Haiyan

Funder

Scientific Research Foundation of Hunan Provincial Education Department

Natural Science Foundation of Hunan Province

Education Department of Hunan Province

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s11276-021-02788-8.pdf

Reference22 articles.

1. Bajwa, W. U., Haupt, J., Sayeed, A. M., & Nowak, R. (2010). Compressed channel sensing: A new approach to estimating sparse multipath channels. Proceedings of the IEEE, 98(6), 1058–1076.

2. Berger, C. R., Wang, Z., Huang, J., & Zhou, S. (2010). Application of compressive sensing to sparse channel estimation. IEEE Communications Magazine, 48(11), 164–174.

3. Candès, E. J., & Wakin, M. B. (2008). An introduction to compressive sampling. IEEE Signal Processing Magazine, 25(2), 21–30.

4. Chen, J. C., Wen, C. K., & Ting, P. (2013). An efficient pilot design scheme for sparse channel estimation in OFDM systems. IEEE Communications Letters, 17(7), 1352–1355.

5. Choi, J. W., Shim, B., Ding, Y., Rao, B., & Kim, D. I. (2017). Compressed sensing for wireless communications: Useful tips and tricks. IEEE Communications Surveys & Tutorials, 19(3), 1527–1550.

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