Pseudorandom noise code-based technique for cloud and aerosol discrimination applications

Joel Campbell; Narasimha S. Prasad; Michael Flood; Wallace Harrison

doi:10.1117/12.888132

8 June 2011 Pseudorandom noise code-based technique for cloud and aerosol discrimination applications

Joel Campbell, Narasimha S. Prasad, Michael Flood, Wallace Harrison

Proceedings Volume 8037, Laser Radar Technology and Applications XVI; 80370L (2011) https://doi.org/10.1117/12.888132
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

NASA Langley Research Center is working on a continuous wave (CW) laser based remote sensing scheme for the detection of CO₂and O₂ from space based platforms suitable for ACTIVE SENSING OF CO₂ EMISSIONS OVER NIGHTS, DAYS, AND SEASONS (ASCENDS) mission. ASCENDS is a future space-based mission to determine the global distribution of sources and sinks of atmospheric carbon dioxide (CO₂). A unique, multi-frequency, intensity modulated CW (IMCW) laser absorption spectrometer (LAS) operating at 1.57 micron for CO₂ sensing has been developed. Effective aerosol and cloud discrimination techniques are being investigated in order to determine concentration values with accuracies less than 0.3%. In this paper, we discuss the demonstration of a PN code based technique for cloud and aerosol discrimination applications. The possibility of using maximum length (ML)-sequences for range and absorption measurements is investigated. A simple model for accomplishing this objective is formulated, Proof-of-concept experiments carried out using SONAR based LIDAR simulator that was built using simple audio hardware provided promising results for extension into optical wavelengths.

Citation Download Citation

Joel Campbell, Narasimha S. Prasad, Michael Flood, and Wallace Harrison "Pseudorandom noise code-based technique for cloud and aerosol discrimination applications", Proc. SPIE 8037, Laser Radar Technology and Applications XVI, 80370L (8 June 2011); https://doi.org/10.1117/12.888132

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