CAJ | 학술논문

为解决仅有角度测量的目标跟踪系统初始误差大、可观性弱、精确实时跟踪困难等问题，研究了一种改进中央差分卡尔曼滤波算法。仿真结果表明，同传统估计方法相比，该算法精度高，收敛速度快，且计算量适中，易于在实战中实时跟踪。
위해결부유각도측량적목표근종계통초시오차대、가관성약、정학실시근종곤난등문제，연구료일충개진중앙차분잡이만려파산법。방진결과표명，동전통고계방법상비，해산법정도고，수렴속도쾌，차계산량괄중，역우재실전중실시근종。
Under many circumstances, bearings-only target tracking was characterized by large initial estimation error and weak observability, making it difficult for precise real time tracking. In order to solve such problem, an improved central difference Kalman Filter was investigated in this paper. Simulation results showed that compared to traditional tracking filter, the proposed method guaranteed higher estimation accuracy and faster convergence speed, and moderate level of computation made it easy for real time tracking in battlefield case.