Earticle

This paper discusses a new method of HIMM for the target tracking problem. This new method is a combination of the H∞ filter and the interactive multiple model (IMM) algorithm. The sub-filters of IMM algorithm are based on Kalman filter, in which the noise statistical characteristic should been known exactly, and in fact we only can get its approximatively models that worsen the performance of IMM algorithm. However, H∞ filter is not need to carry on any supposition to the noise statistical property, which is not sensitive to the noise, and has robustness to the uncertainty of noise. A meaningful example is presented to illustrate the effectiveness of the authors’ method, the performances of IMM and HIMM in terms of stability, tracking accuracy and robustness are compared. The purpose of this paper is to demonstrate the effectiveness of applying the HIMM algorithm on the target tracking problem, which in the past have typically been solved by Kalman filters.

잠수함 정숙화 추세와 복잡한 해양 환경으로 대잠수함전에서 미약한 표적신호를 지속적으로 탐지하기 매우 어려워지고 있어 소나 운용자가 장시간 지속적으로 전방위 표적 탐색하는 부담이 매우 크므로 표적 자동탐지 추적 기능이 필수적이다. 본 논문에서는 장거리 예인 수동소나에 적합한 표적의 자동 탐지 및 추적기법을 제안하고 시뮬레이션과 실제 해상 환경에서 수중 표적신호로 성능을 검증하였다.