DocumentCode
1113789
Title
Measurement preprocessing approach for target tracking in a cluttered environment
Author
Wang, T.C. ; Varshney, P.K.
Author_Institution
Syracuse Univ., NY, USA
Volume
141
Issue
3
fYear
1994
fDate
6/1/1994 12:00:00 AM
Firstpage
151
Lastpage
158
Abstract
The paper presents a novel measurement preprocessing technique to enhance the performance of conventional Kalman-filter-based tracking algorithms. Received measurements are preprocessed, based on a maximum-likelihood estimation approach. Simulation results show the superior performance of this approach both in clean and cluttered environments
Keywords
Kalman filters; filtering and prediction theory; maximum likelihood estimation; radar clutter; signal processing; tracking systems; Kalman filter; cluttered environment; maximum-likelihood estimation; measurement preprocessing; performance; simulation; target tracking; tracking algorithms;
fLanguage
English
Journal_Title
Radar, Sonar and Navigation, IEE Proceedings -
Publisher
iet
ISSN
1350-2395
Type
jour
DOI
10.1049/ip-rsn:19941161
Filename
295467
Link To Document