| Title |
Generalized input estimation for maneuvering target tracking |
| Keywords |
기동 ; 표적 추적 ; 입력추정 ; 가설검증 ; 최대사후 확률 추정자 Maneuver ; Target Tracking ; Input Estimation ; hypothesis Test ; MAP Estimator |
| Abstract |
The input estimation method estimates maneuvering input acceleration in order to track a maneuvering target. In this paper, the optimal input estimator is derived by choosing the MAP hypothesis among maneuvering input transition hypotheses under the assumption that a maneuvering input acceleration is a semi-Markov process. The optimal input estimation method cannot be realized because the optimal filter should consider every maneuver onset time hypothesis from filter starting time to current time which increase rapidly. Hence the suboptimal filter using a sliding window is proposed. Since the proposed method can consider all hypotheses of input transitions inside the window, it is general enough to include Bogler's input estimation method. Simulation results show, however, that we can obtain a good performance even when the filter considering just one input transition in the window is used. (author). 9 refs., 3 figs., 1 tab. |