Piece-wise variance method for signal-to-noise ratio estimation in elastic/raman lidar signals

A straightforward signal-to-noise ratio (SNR) estimator for elastic/Raman lidar channels and related noise-induced errorbars is presented. The estimator is based on piece-wise estimation of the mean signal power and noise variance component under analog detection. The piece-wise estimator results ar...

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Main Authors: Md. Reba, Mohd. Nadzri, Rocadenbosch, Francesc, Sicard, Michael, Munoz, Constantino, Tomas, Sergio
Format: Conference or Workshop Item
Published: 2007
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Online Access:http://eprints.utm.my/id/eprint/14357/
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Institution: Universiti Teknologi Malaysia
id my.utm.14357
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spelling my.utm.143572017-08-07T06:45:57Z http://eprints.utm.my/id/eprint/14357/ Piece-wise variance method for signal-to-noise ratio estimation in elastic/raman lidar signals Md. Reba, Mohd. Nadzri Rocadenbosch, Francesc Sicard, Michael Munoz, Constantino Tomas, Sergio G Geography (General) Q Science (General) A straightforward signal-to-noise ratio (SNR) estimator for elastic/Raman lidar channels and related noise-induced errorbars is presented. The estimator is based on piece-wise estimation of the mean signal power and noise variance component under analog detection. The piece-wise estimator results are compared with those obtained from a previously published SNR parametric estimator under high and low SNR scenarios. 2007 Conference or Workshop Item PeerReviewed Md. Reba, Mohd. Nadzri and Rocadenbosch, Francesc and Sicard, Michael and Munoz, Constantino and Tomas, Sergio (2007) Piece-wise variance method for signal-to-noise ratio estimation in elastic/raman lidar signals. In: IEEE 10th International Geoscience and Remote Sensing Symposium(IGARSS 2007), 2007, Spain.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic G Geography (General)
Q Science (General)
spellingShingle G Geography (General)
Q Science (General)
Md. Reba, Mohd. Nadzri
Rocadenbosch, Francesc
Sicard, Michael
Munoz, Constantino
Tomas, Sergio
Piece-wise variance method for signal-to-noise ratio estimation in elastic/raman lidar signals
description A straightforward signal-to-noise ratio (SNR) estimator for elastic/Raman lidar channels and related noise-induced errorbars is presented. The estimator is based on piece-wise estimation of the mean signal power and noise variance component under analog detection. The piece-wise estimator results are compared with those obtained from a previously published SNR parametric estimator under high and low SNR scenarios.
format Conference or Workshop Item
author Md. Reba, Mohd. Nadzri
Rocadenbosch, Francesc
Sicard, Michael
Munoz, Constantino
Tomas, Sergio
author_facet Md. Reba, Mohd. Nadzri
Rocadenbosch, Francesc
Sicard, Michael
Munoz, Constantino
Tomas, Sergio
author_sort Md. Reba, Mohd. Nadzri
title Piece-wise variance method for signal-to-noise ratio estimation in elastic/raman lidar signals
title_short Piece-wise variance method for signal-to-noise ratio estimation in elastic/raman lidar signals
title_full Piece-wise variance method for signal-to-noise ratio estimation in elastic/raman lidar signals
title_fullStr Piece-wise variance method for signal-to-noise ratio estimation in elastic/raman lidar signals
title_full_unstemmed Piece-wise variance method for signal-to-noise ratio estimation in elastic/raman lidar signals
title_sort piece-wise variance method for signal-to-noise ratio estimation in elastic/raman lidar signals
publishDate 2007
url http://eprints.utm.my/id/eprint/14357/
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