Noise Reduction in Lidar Signal Based on Sparse Difference Method
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.
KeywordsRayleigh lidar Denoising techniques Sparse difference Signal-to-noise ratio Temperature
- 2.Xu, F., Zhang, X., Zhu, D.: Generalized wavelet thresholding technique for optimal noise reduction of lidar echo signals. In: Proceedings of the 9th International Conference on Signal Processing Systems, pp. 140–145 (2017)Google Scholar
- 5.Sharma, S., Vaishnav, R., Shukla K.K., Lal, S., Chandra, H., Acharya, Y.B., Jayaraman, A.: Rayleigh lidar observed atmospheric temperature characteristics over a western indian location: intercomparison with satellite observations and models. Eur. Phys. J. D. 71(187), 01–08 (2017)Google Scholar
- 6.Rai, S., Tripathy, P., Nayak, S.K.: Using sparsity to estimate oscillatory mode from ambient data. Indian Acad. Sci. 44(90), 01–09 (2019). (Saadhana Publishers)Google Scholar
- 7.Wing, R., Hauchecorne, A., Keckhut, P., Godin, BS., Khaykin, S., Mccullogh, E., Mariscal, J.F., Almedia, E.D.: Lidar temperature series in the middle atmosphere as a reference data set—Part I: improved retrievals and a 20 year cross validation of two co-located French lidars. Atmos. Meas. Tech. 11, 5531–5547 (2018)CrossRefGoogle Scholar
- 8.Kulikov, M.Y., Nechaev, A.A., Belikovich, M.V., Vorobeva, M.V., Grygalashvyly, M., Sonnemann, G.R., Feigin, A.M.: Boundary of night time ozone chemical equilibrium in the mesopause region from saber data. Implications for deviation of atomic oxygen and atomic hydrogen. Geophys. Res. Lett. 10, 01–08 (2018)Google Scholar