Quickly Sample and Reconstruct for Low-level Wind Shear Data Measured by Coherent Lidar

Yuechao Ma; Sining Li; Wei Lu

doi:10.1109/ICEICT.2019.8846330

Quickly Sample and Reconstruct for Low-level Wind Shear Data Measured by Coherent Lidar

Yuechao Ma
, Sining Li
, Wei Lu

School of Astronautics

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Low-level wind shear is a type of catastrophic weather that can cause aircraft to flip over, stall or even crash. Therefore, it is very important to detect and recognize this phenomenon. In recent years, coherent Lidar has been proposed to detect low-level wind shear, but the common recognition methods need large computation to inverse the wind field to recognize the type. In this paper, compressive sensing (CS) is put forward to quickly sample and reconstruct wind field data, which can greatly reduce the time required for wind field recognition. The wind field data involved in this paper are obtained by simulation. The results of data reconstruction prove that the method mentioned in this paper can describe the whole information with less samples and shorten the follow-up processing time to a certain extent, and improve the real-time recognition of low-level wind shear.

Original language	English
Title of host publication	Proceedings of 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology, ICEICT 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	278-282
Number of pages	5
ISBN (Electronic)	9781538692981
DOIs	https://doi.org/10.1109/ICEICT.2019.8846330
State	Published - Jan 2019
Event	2nd IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2019 - Harbin, China Duration: 20 Jan 2019 → 22 Jan 2019

Publication series

Name	Proceedings of 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology, ICEICT 2019

Conference

Conference	2nd IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2019
Country/Territory	China
City	Harbin
Period	20/01/19 → 22/01/19

Keywords

CS
Coherent Lidar
Low-level wind shear

Access to Document

10.1109/ICEICT.2019.8846330

Cite this

Ma, Y., Li, S., & Lu, W. (2019). Quickly Sample and Reconstruct for Low-level Wind Shear Data Measured by Coherent Lidar. In Proceedings of 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology, ICEICT 2019 (pp. 278-282). Article 8846330 (Proceedings of 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology, ICEICT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEICT.2019.8846330

Ma, Yuechao ; Li, Sining ; Lu, Wei. / Quickly Sample and Reconstruct for Low-level Wind Shear Data Measured by Coherent Lidar. Proceedings of 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology, ICEICT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 278-282 (Proceedings of 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology, ICEICT 2019).

@inproceedings{21cead46f5d24de9a17c63207692d7b5,

title = "Quickly Sample and Reconstruct for Low-level Wind Shear Data Measured by Coherent Lidar",

abstract = "Low-level wind shear is a type of catastrophic weather that can cause aircraft to flip over, stall or even crash. Therefore, it is very important to detect and recognize this phenomenon. In recent years, coherent Lidar has been proposed to detect low-level wind shear, but the common recognition methods need large computation to inverse the wind field to recognize the type. In this paper, compressive sensing (CS) is put forward to quickly sample and reconstruct wind field data, which can greatly reduce the time required for wind field recognition. The wind field data involved in this paper are obtained by simulation. The results of data reconstruction prove that the method mentioned in this paper can describe the whole information with less samples and shorten the follow-up processing time to a certain extent, and improve the real-time recognition of low-level wind shear.",

keywords = "CS, Coherent Lidar, Low-level wind shear",

author = "Yuechao Ma and Sining Li and Wei Lu",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2nd IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2019 ; Conference date: 20-01-2019 Through 22-01-2019",

year = "2019",

month = jan,

doi = "10.1109/ICEICT.2019.8846330",

language = "英语",

series = "Proceedings of 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology, ICEICT 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "278--282",

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address = "美国",

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Ma, Y, Li, S & Lu, W 2019, Quickly Sample and Reconstruct for Low-level Wind Shear Data Measured by Coherent Lidar. in Proceedings of 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology, ICEICT 2019., 8846330, Proceedings of 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology, ICEICT 2019, Institute of Electrical and Electronics Engineers Inc., pp. 278-282, 2nd IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2019, Harbin, China, 20/01/19. https://doi.org/10.1109/ICEICT.2019.8846330

Quickly Sample and Reconstruct for Low-level Wind Shear Data Measured by Coherent Lidar. / Ma, Yuechao; Li, Sining; Lu, Wei.
Proceedings of 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology, ICEICT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 278-282 8846330 (Proceedings of 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology, ICEICT 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Quickly Sample and Reconstruct for Low-level Wind Shear Data Measured by Coherent Lidar

AU - Ma, Yuechao

AU - Li, Sining

AU - Lu, Wei

PY - 2019/1

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N2 - Low-level wind shear is a type of catastrophic weather that can cause aircraft to flip over, stall or even crash. Therefore, it is very important to detect and recognize this phenomenon. In recent years, coherent Lidar has been proposed to detect low-level wind shear, but the common recognition methods need large computation to inverse the wind field to recognize the type. In this paper, compressive sensing (CS) is put forward to quickly sample and reconstruct wind field data, which can greatly reduce the time required for wind field recognition. The wind field data involved in this paper are obtained by simulation. The results of data reconstruction prove that the method mentioned in this paper can describe the whole information with less samples and shorten the follow-up processing time to a certain extent, and improve the real-time recognition of low-level wind shear.

AB - Low-level wind shear is a type of catastrophic weather that can cause aircraft to flip over, stall or even crash. Therefore, it is very important to detect and recognize this phenomenon. In recent years, coherent Lidar has been proposed to detect low-level wind shear, but the common recognition methods need large computation to inverse the wind field to recognize the type. In this paper, compressive sensing (CS) is put forward to quickly sample and reconstruct wind field data, which can greatly reduce the time required for wind field recognition. The wind field data involved in this paper are obtained by simulation. The results of data reconstruction prove that the method mentioned in this paper can describe the whole information with less samples and shorten the follow-up processing time to a certain extent, and improve the real-time recognition of low-level wind shear.

KW - CS

KW - Coherent Lidar

KW - Low-level wind shear

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Ma Y, Li S, Lu W. Quickly Sample and Reconstruct for Low-level Wind Shear Data Measured by Coherent Lidar. In Proceedings of 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology, ICEICT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 278-282. 8846330. (Proceedings of 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology, ICEICT 2019). doi: 10.1109/ICEICT.2019.8846330

Quickly Sample and Reconstruct for Low-level Wind Shear Data Measured by Coherent Lidar

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