DocumentCode
1536193
Title
Nonparametric methods for clutter removal
Author
Leonov, Sergei
Author_Institution
GlaxoSmithKline, Collegeville, PA, USA
Volume
37
Issue
3
fYear
2001
fDate
7/1/2001 12:00:00 AM
Firstpage
832
Lastpage
848
Abstract
Methods of clutter rejection are discussed which furnish an inherent counterpart of target tracking and detection algorithms. We describe how nonparametric curve estimation methods reduce the original sensor data to a “signal-plus-noise” model which is well suited for various hypotheses testing and dynamical filtering algorithms. We also verify a “white noise” assumption for the model of residuals
Keywords
filtering theory; radar clutter; radar tracking; target tracking; white noise; clutter rejection; clutter removal; detection algorithms; dynamical filtering algorithms; hypotheses testing; nonparametric curve estimation methods; residuals; signal-plus-noise model; target tracking; white noise; Additive noise; Detection algorithms; Filtering algorithms; Kernel; Mathematical model; Noise measurement; Sensor phenomena and characterization; Smoothing methods; Target tracking; Testing;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/7.953240
Filename
953240
Link To Document