DocumentCode
307043
Title
Design of a tracking filter for improved state estimation with radar measurements
Author
Park, Seong-taek ; Lee, Jang Gyu
Author_Institution
Dept. of Electr. Eng., Seoul Nat. Univ., South Korea
Volume
3
fYear
1996
fDate
11-13 Dec 1996
Firstpage
3165
Abstract
A new approach to improved filter design is presented for the radar tracking problem. An idealized version of the extended Kalman filter, which is unrealizable in practice, is constructed using a universal linearization concept, and then it is utilized for the development of a practical tracking filter. The resulting filter tunes the measurement error variance in an adaptive manner to account for the measurement nonlinearities effectively
Keywords
Kalman filters; filtering theory; linearisation techniques; radar tracking; state estimation; extended Kalman filter; measurement error variance tuning; measurement nonlinearities; radar measurements; radar tracking; state estimation; tracking filter design; universal linearization concept; Adaptive filters; Equations; Measurement errors; Noise measurement; Phased arrays; Radar measurements; Radar tracking; State estimation; Vectors; Yield estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location
Kobe
ISSN
0191-2216
Print_ISBN
0-7803-3590-2
Type
conf
DOI
10.1109/CDC.1996.573617
Filename
573617
Link To Document