Noise normalization and windowing functions for VALIDAR in wind parameter estimation

Jeffrey Y. Beyon; Grady J. Koch; Zhiwen Li

doi:10.1117/12.663420

19 May 2006 Noise normalization and windowing functions for VALIDAR in wind parameter estimation

Jeffrey Y. Beyon, Grady J. Koch, Zhiwen Li

Proceedings Volume 6214, Laser Radar Technology and Applications XI; 621404 (2006) https://doi.org/10.1117/12.663420
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

The wind parameter estimates from a state-of-the-art 2-μm coherent lidar system located at NASA Langley, Virginia, named VALIDAR (validation lidar), were compared after normalizing the noise by its estimated power spectra via the periodogram and the linear predictive coding (LPC) scheme. The power spectra and the Doppler shift estimates were the main parameter estimates for comparison. Different types of windowing functions were implemented in VALIDAR data processing algorithm and their impact on the wind parameter estimates was observed. Time and frequency independent windowing functions such as Rectangular, Hanning, and Kaiser-Bessel and time and frequency dependent apodized windowing function were compared. The briefing of current nonlinear algorithm development for Doppler shift correction subsequently follows.

Citation Download Citation

Jeffrey Y. Beyon, Grady J. Koch, and Zhiwen Li "Noise normalization and windowing functions for VALIDAR in wind parameter estimation", Proc. SPIE 6214, Laser Radar Technology and Applications XI, 621404 (19 May 2006); https://doi.org/10.1117/12.663420

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