Signal processing techniques for heterodyne differential absorption lidar

Jeffrey Y. Beyon; Grady J. Koch; Syed Ismail

doi:10.1117/12.718082

16 May 2007 Signal processing techniques for heterodyne differential absorption lidar

Jeffrey Y. Beyon, Grady J. Koch, Syed Ismail

Proceedings Volume 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI; 65671N (2007) https://doi.org/10.1117/12.718082
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

Different methods of energy estimation for a differential absorption lidar (DIAL) system at NASA Langley Research Center in Virginia are investigated in this paper. The system is a 2- &mgr;m wavelength coherent Doppler lidar called VALIDAR that has been traditionally used for measuring wind. Recent advances in laser wavelength control have allowed the new use of this lidar for measuring atmospheric CO₂ concentration by a DIAL technique. In order to realize accurate DIAL measurements, optimal signal processing techniques are required to represent the energy of the heterodyned backscatter signals. The noise energy was estimated by minimizing the mean square error in its estimate and was used to normalize its adverse influence on accurate estimation of the concentration of CO₂ in the atmosphere. The impact of different methods on the statistics of CO₂ concentration measurements is compared.

Citation Download Citation

Jeffrey Y. Beyon, Grady J. Koch, and Syed Ismail "Signal processing techniques for heterodyne differential absorption lidar", Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65671N (16 May 2007); https://doi.org/10.1117/12.718082

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