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Noise Reduction in Lidar Signal Based on Sparse Difference Method

  • P. Dileep KumarEmail author
  • T. Ramashri
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1040)

Abstract

Lidar is the only remote sensing device used to measure the dynamic properties of the atmosphere from stratosphere through the mesosphere. The range of Rayleigh lidar is affected due to different noises present in the atmosphere. In this paper, different types of noises in lidar signal are interpreted, and distinct denoising methods such as wavelets, Empirical Mode Decomposition (EMD) and Sparsity are tested on signal received from Rayleigh lidar receiver at National Atmospheric Research Laboratory (NARL), Gadanki. The proposed denoising using sparsity achieves better signal-to-noise ratio at higher altitudes, and the temperature profile also matches good with the SABER instrument in TIMED satellite and NRLMSISE-00 model data.

Keywords

Rayleigh lidar Denoising techniques Sparse difference Signal-to-noise ratio Temperature 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of ECESri Venkateswara University College of EngineeringTirupatiIndia

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