DocumentCode
1713923
Title
Pursuit of manoeuvring targets in the presence of glint
Author
Chamon, Marco Antonio ; Noyer, Jean-Charles ; Salut, Gdrard
Author_Institution
Lab. d´´Autom. et d´´Anal. des Syst., CNRS, Toulouse, France
Volume
1
fYear
1995
Firstpage
473
Abstract
This article presents a new nonlinear filtering technique applied to radar tracking in the presence of glint, which is modelled by nonGaussian observation noise. The computational cost is high but the algorithm is quite simple and naturally suited to parallelism. Simulation results are presented and compared with those of an extended Kalman filter
Keywords
filtering theory; nonlinear filters; parallel algorithms; radar signal processing; radar tracking; computational cost; extended Kalman filter; glint; manoeuvring targets; nonGaussian observation noise; nonlinear filtering; parallel algorithm; radar tracking; simulation results; Content addressable storage; Convergence; Gaussian processes; Kalman filters; Lakes; Radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location
Montreal, Que.
ISSN
0840-7789
Print_ISBN
0-7803-2766-7
Type
conf
DOI
10.1109/CCECE.1995.528176
Filename
528176
Link To Document