Estimation of atmospheric boundary layer using Kalman filter technique

Authors:
Abhik Mukherjee;Partha Pratim Adhikari;P. K. Nandi;Pinakpani Pal;J. Das
Affiliations:
Computer Science and Technology Department, Bengal Engineering College (DU), PO Botanic Garden, Howrah 711103, India;Computer Science and Technology Department, Bengal Engineering College (DU), PO Botanic Garden, Howrah 711103, India;Computer Science and Technology Department, Bengal Engineering College (DU), PO Botanic Garden, Howrah 711103, India;ECSU, Indian Statistical Institute, 203 Barackpore Trunk Road, Kolkata 700108, India;ECSU, Indian Statistical Institute, 203 Barackpore Trunk Road, Kolkata 700108, India
Venue:
Signal Processing - Image and Video Coding beyond Standards
Year:
2002

Citing 3
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Abstract

Sodar provides round-the-clock information about the atmospheric boundary layer (ABL). However, computer-based extraction of relevant ABL information from sodar data calls for techniques of image processing to remove the inherent noise. Kalman filter is employed as an alternative methodology to extract the ABL. Thus, it becomes possible to bypass the time-consuming image processing steps, making it faster for real time interpretation of atmospheric conditions from ABL. The technique compares well with the performance of the image processing technique.