| Title |
Maneuvering Target Tracking in Uncertain Parameter Systems Using RoubustH_∞FIR Filters |
| Authors |
유경상(Yoo, Kyung-Sang) ; 김대우(Kim, Dae-Woo) ; 권오규(Kwon, Oh-Kyu) |
| Keywords |
RobustH_∞FIR filter ; maneuvering target tracking ; parameter uncertainty ; input estimation ; Kalman filter. |
| Abstract |
This paper deals with the maneuver detection and target tracking problem in uncertain parameter systems using a robust{{{{ { H}_{ } }}}} FIR filter to improve the unacceptable tracking performance due to the parametr uncertainty. The tracking filter used in the current paper is based on the robust{{{{ { H}_{ } }}}} FIR filter proposed by Kwon et al. [1,2] to estimate the state signal in uncertain systems with parameter uncertainty, and the basic scheme of the proposed method is the input estimation approach. Tracking performance of the maneuver detection and target tracking method proposed is compared with other techniques, Bogler allgorithm [4] and FIR tracking filter [2], via some simulations to examplify the good tracking performance of the proposed method over other techniques. |