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

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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Bibliographic Details
Main Authors: Md. Reba, Mohd. Nadzri, Rocadenbosch, Francesc, Sicard, Michael, Munoz, Constantino, Tomas, Sergio
Format: Conference or Workshop Item
Published: 2007
Subjects:
G Geography (General)
Q Science (General)
Online Access:http://eprints.utm.my/id/eprint/14357/
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Institution: Universiti Teknologi Malaysia
Description
Summary: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.

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