Title :
Piece-wise variance method for signal-to-noise ratio estimation in elastic/Raman lidar signals
Author :
Reba, Mohd Nadzri Md ; Rocadenbosch, Francesc ; Sicard, Michaël ; Muñoz, Constantino ; Tomás, Sergio
Author_Institution :
Univ. Polytech. de Catalunya (UPC), Barcelona
Abstract :
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.
Keywords :
optical radar; radar signal processing; analog detection; elastic/Raman lidar signals; noise-induced errorbars; piece-wise variance method; signal-to-noise ratio estimation; Background noise; Gaussian noise; Laser radar; Noise measurement; Noise robustness; Optical noise; Optical receivers; Remote sensing; Signal to noise ratio; Statistics; Signal-to-noise ratio; estimation; lidar; noise; variance;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
DOI :
10.1109/IGARSS.2007.4423515