Theoretical and experimental signal-to-noise ratio assessment in new direction sensing continuous-wave Doppler lidar

Anders Tegtmeier Pedersen; Farzad Foroughi Abari; Jakob Mann; Torben Mikkelsen

doi:10.1088/1742-6596/524/1/012004

Theoretical and experimental signal-to-noise ratio assessment in new direction sensing continuous-wave Doppler lidar

Anders Tegtmeier Pedersen
, Farzad Foroughi Abari
, Jakob Mann
, Torben Mikkelsen

Research output: Contribution to journal › Conference article › Research › peer-review

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Abstract

A new direction sensing continuous-wave Doppler lidar based on an image-reject homodyne receiver has recently been demonstrated at DTU Wind Energy, Technical University of Denmark. In this contribution we analyse the signal-to-noise ratio resulting from two different data processing methods both leading to the direction sensing capability. It is found that using the auto spectrum of the complex signal to determine the wind speed leads to a signal-to-noise ratio equivalent to that of a standard self-heterodyne receiver. Using the imaginary part of the cross spectrum to estimate the Doppler shift has the benefit of a zero-mean background spectrum, but comes at the expense of a decrease in the signal-to noise ratio by a factor of √2.

Original language	English
Article number	012004
Book series	Journal of Physics: Conference Series (Online)
Volume	524
Number of pages	9
ISSN	1742-6596
DOIs	https://doi.org/10.1088/1742-6596/524/1/012004
Publication status	Published - 2014
Event	5th International Conference on The Science of Making Torque from Wind 2014 - Technical University of Denmark, Copenhagen, Denmark Duration: 10 Jun 2014 → 20 Jun 2014 Conference number: 5 http://indico.conferences.dtu.dk/conferenceDisplay.py?confId=138

Conference

Conference	5th International Conference on The Science of Making Torque from Wind 2014
Number	5
Location	Technical University of Denmark
Country/Territory	Denmark
City	Copenhagen
Period	10/06/2014 → 20/06/2014
Internet address	http://indico.conferences.dtu.dk/conferenceDisplay.py?confId=138

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Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd

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title = "Theoretical and experimental signal-to-noise ratio assessment in new direction sensing continuous-wave Doppler lidar",

abstract = "A new direction sensing continuous-wave Doppler lidar based on an image-reject homodyne receiver has recently been demonstrated at DTU Wind Energy, Technical University of Denmark. In this contribution we analyse the signal-to-noise ratio resulting from two different data processing methods both leading to the direction sensing capability. It is found that using the auto spectrum of the complex signal to determine the wind speed leads to a signal-to-noise ratio equivalent to that of a standard self-heterodyne receiver. Using the imaginary part of the cross spectrum to estimate the Doppler shift has the benefit of a zero-mean background spectrum, but comes at the expense of a decrease in the signal-to noise ratio by a factor of √2.",

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note = "Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd; 5th International Conference on The Science of Making Torque from Wind 2014, TORQUE 2014 ; Conference date: 10-06-2014 Through 20-06-2014",

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AU - Pedersen, Anders Tegtmeier

AU - Foroughi Abari, Farzad

AU - Mann, Jakob

AU - Mikkelsen, Torben

N1 - Conference code: 5

PY - 2014

Y1 - 2014

N2 - A new direction sensing continuous-wave Doppler lidar based on an image-reject homodyne receiver has recently been demonstrated at DTU Wind Energy, Technical University of Denmark. In this contribution we analyse the signal-to-noise ratio resulting from two different data processing methods both leading to the direction sensing capability. It is found that using the auto spectrum of the complex signal to determine the wind speed leads to a signal-to-noise ratio equivalent to that of a standard self-heterodyne receiver. Using the imaginary part of the cross spectrum to estimate the Doppler shift has the benefit of a zero-mean background spectrum, but comes at the expense of a decrease in the signal-to noise ratio by a factor of √2.

AB - A new direction sensing continuous-wave Doppler lidar based on an image-reject homodyne receiver has recently been demonstrated at DTU Wind Energy, Technical University of Denmark. In this contribution we analyse the signal-to-noise ratio resulting from two different data processing methods both leading to the direction sensing capability. It is found that using the auto spectrum of the complex signal to determine the wind speed leads to a signal-to-noise ratio equivalent to that of a standard self-heterodyne receiver. Using the imaginary part of the cross spectrum to estimate the Doppler shift has the benefit of a zero-mean background spectrum, but comes at the expense of a decrease in the signal-to noise ratio by a factor of √2.

U2 - 10.1088/1742-6596/524/1/012004

DO - 10.1088/1742-6596/524/1/012004

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VL - 524

JO - Journal of Physics: Conference Series (Online)

JF - Journal of Physics: Conference Series (Online)

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T2 - 5th International Conference on The Science of Making Torque from Wind 2014

Y2 - 10 June 2014 through 20 June 2014

ER -

Theoretical and experimental signal-to-noise ratio assessment in new direction sensing continuous-wave Doppler lidar

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