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

Nikolas Angelou; Farzad Foroughi Abari; Jakob Mann; Torben Mikkelsen; Mikael Sjöholm

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

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

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Abstract

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
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.

Original language	English
Title of host publication	Proceedings of the 26th International Laser Radar Conference : Session 5P: Atmospheric winds - turbulence
Number of pages	4
Publication date	2012
Article number	S5P-01
Publication status	Published - 2012
Event	26th International Laser Radar Conference - Porto Heli, Greece Duration: 25 Jun 2012 → 29 Jun 2012

Conference

Conference	26th International Laser Radar Conference
Country/Territory	Greece
City	Porto Heli
Period	25/06/2012 → 29/06/2012

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title = "Challenges in noise removal from Doppler spectra acquired by a continuous-wave lidar",

abstract = "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 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.",

author = "Nikolas Angelou and \{Foroughi Abari\}, Farzad and Jakob Mann and Torben Mikkelsen and Mikael Sj{\"o}holm",

year = "2012",

language = "English",

booktitle = "Proceedings of the 26th International Laser Radar Conference",

note = "26th International Laser Radar Conference ; Conference date: 25-06-2012 Through 29-06-2012",

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Challenges in noise removal from Doppler spectra acquired by a continuous-wave lidar. / Angelou, Nikolas; Foroughi Abari, Farzad; Mann, Jakob et al.
Proceedings of the 26th International Laser Radar Conference: Session 5P: Atmospheric winds - turbulence. 2012. S5P-01.

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

TY - GEN

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

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 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 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.

M3 - Article in proceedings

BT - Proceedings of the 26th International Laser Radar Conference

T2 - 26th International Laser Radar Conference

Y2 - 25 June 2012 through 29 June 2012

ER -

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

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