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
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;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.573617
