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18 August 1998 Noise analysis of lidar backscattering signal using forward and backward Kalman filtering algorithm with generalized random walk structures
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Abstract
Recursive estimation of high-frequency noise in lidar backscattering signal based on forward and backward linear Kalman filtering algorithms are exploded. Using state-space techniques, the lidar aerosol backscattering signal is identified following generalized random walk (GRW) structures. Comparisons of the estimation results between different Kalman-GRW filters are given in case studies. The spectral test of the given examples show that the forward and backward Kalman filtering algorithms processing with the GRW structures low-pass filters for the smoothing of lidar data.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jialing Gao, Zunan Wu, Zhongliang Chen, and Jianming Liang "Noise analysis of lidar backscattering signal using forward and backward Kalman filtering algorithm with generalized random walk structures", Proc. SPIE 3501, Optical Remote Sensing of the Atmosphere and Clouds, (18 August 1998); https://doi.org/10.1117/12.317727
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