Acoustic tomography of the atmosphere using unscented Kalman filter

Author

Kolouri, Soheil ; Azimi-Sadjadi, Mahmood R.

Author_Institution

Electr. & Comput. Eng. Dept., Colorado State Univ., Fort Collins, CO, USA

fYear

2012

Firstpage

2531

Lastpage

2535

Abstract

Acoustic travel-time tomography of the atmosphere is a nonlinear inverse problem which attemps to reconstruct temperature and wind velocity fields in the atmospheric surface layer (ASL) using the dependence of sound speed on temperature and wind velocity fields along the propagation path. A new statistical-based algorithm is introduced in this paper based on fixed-point unscented Kalman filter (UKF) which is capable of reconstructing and tracking temperature and wind velocity fields within a specified investigation area.

Keywords

Kalman filters; acoustic tomography; atmospheric techniques; atmospheric temperature; geophysical signal processing; inverse problems; nonlinear filters; statistical analysis; wind; ASL; acoustic atmospheric tomography; acoustic travel-time tomography; atmospheric surface layer; fixed-point UKF; fixed-point unscented Kalman filter; nonlinear inverse problem; sound speed; statistical-based algorithm; temperature field reconstruction; temperature field tracking; wind velocity field reconstruction; wind velocity field tracking; Acoustics; Covariance matrix; Kalman filters; Temperature measurement; Tomography; Vectors; Wind speed; Acoustic Tomography; Unscented Kalman Filter; Unscented Transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European

ISSN

2219-5491

Print_ISBN

978-1-4673-1068-0

Type

conf

Filename

6334275