Challenges in noise removal from Doppler spectra acquired by a continuous-wave lidar

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Standard

Challenges in noise removal from Doppler spectra acquired by a continuous-wave lidar. / Angelou, Nikolas; Foroughi Abari, Farzad; Mann, Jakob; Mikkelsen, Torben; Sjöholm, Mikael.

Proceedings of the 26th International Laser Radar Conference: Session 5P: Atmospheric winds - turbulence. 2012. S5P-01.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Harvard

Angelou, N, Foroughi Abari, F, Mann, J, Mikkelsen, T & Sjöholm, M 2012, 'Challenges in noise removal from Doppler spectra acquired by a continuous-wave lidar'. in Proceedings of the 26th International Laser Radar Conference: Session 5P: Atmospheric winds - turbulence., S5P-01.

APA

Angelou, N., Foroughi Abari, F., Mann, J., Mikkelsen, T., & Sjöholm, M. (2012). Challenges in noise removal from Doppler spectra acquired by a continuous-wave lidar. In Proceedings of the 26th International Laser Radar Conference: Session 5P: Atmospheric winds - turbulence. [S5P-01]

CBE

Angelou N, Foroughi Abari F, Mann J, Mikkelsen T, Sjöholm M. 2012. Challenges in noise removal from Doppler spectra acquired by a continuous-wave lidar. In Proceedings of the 26th International Laser Radar Conference: Session 5P: Atmospheric winds - turbulence.

MLA

Angelou, Nikolas et al. "Challenges in noise removal from Doppler spectra acquired by a continuous-wave lidar". Proceedings of the 26th International Laser Radar Conference: Session 5P: Atmospheric winds - turbulence. 2012.

Vancouver

Angelou N, Foroughi Abari F, Mann J, Mikkelsen T, Sjöholm M. Challenges in noise removal from Doppler spectra acquired by a continuous-wave lidar. In Proceedings of the 26th International Laser Radar Conference: Session 5P: Atmospheric winds - turbulence. 2012. S5P-01.

Author

Angelou, Nikolas; Foroughi Abari, Farzad; Mann, Jakob; Mikkelsen, Torben; Sjöholm, Mikael / Challenges in noise removal from Doppler spectra acquired by a continuous-wave lidar.

Proceedings of the 26th International Laser Radar Conference: Session 5P: Atmospheric winds - turbulence. 2012. S5P-01.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Bibtex

@inbook{1f977c3c164943b09baf57320e343385,
title = "Challenges in noise removal from Doppler spectra acquired by a continuous-wave lidar",
author = "Nikolas Angelou and {Foroughi Abari}, Farzad and Jakob Mann and Torben Mikkelsen and Mikael Sjöholm",
year = "2012",
booktitle = "Proceedings of the 26th International Laser Radar Conference",

}

RIS

TY - GEN

T1 - Challenges in noise removal from Doppler spectra acquired by a continuous-wave lidar

A1 - Angelou,Nikolas

A1 - Foroughi Abari,Farzad

A1 - Mann,Jakob

A1 - Mikkelsen,Torben

A1 - Sjöholm,Mikael

AU - Angelou,Nikolas

AU - Foroughi Abari,Farzad

AU - Mann,Jakob

AU - Mikkelsen,Torben

AU - Sjöholm,Mikael

PY - 2012

Y1 - 2012

N2 - This paper is focused on the required post processing of Doppler spectra, acquired from a continuous-wave coherent lidar at high sampling rates (400 Hz) and under rapid scanning of the laser beam. In particular, the necessary steps followed for extracting the wind speed from such Doppler spectra are presented. A method for determining the background noise spectrum without interrupting the<br/>transmission of the laser beam is described. Moreover, the dependency between the determination of the threshold of a Doppler spectrum with low signal-to-noise ratios and the characteristics of the wind flow are investigated and a systematic approach for removing the noise is outlined. The suggested post processing procedures are applied to two sample time series acquired by a short-range WindScanner during one second each.

AB - This paper is focused on the required post processing of Doppler spectra, acquired from a continuous-wave coherent lidar at high sampling rates (400 Hz) and under rapid scanning of the laser beam. In particular, the necessary steps followed for extracting the wind speed from such Doppler spectra are presented. A method for determining the background noise spectrum without interrupting the<br/>transmission of the laser beam is described. Moreover, the dependency between the determination of the threshold of a Doppler spectrum with low signal-to-noise ratios and the characteristics of the wind flow are investigated and a systematic approach for removing the noise is outlined. The suggested post processing procedures are applied to two sample time series acquired by a short-range WindScanner during one second each.

BT - Proceedings of the 26th International Laser Radar Conference

T2 - Proceedings of the 26th International Laser Radar Conference

ER -