CAJ | 학술논문

给出了一种基于平方根中心差分卡尔曼滤波的交互多模型(IMM)算法.该算法较好地解决了非线性条件下机动目标跟踪的问题,可获得比基于扩展卡尔曼滤波(EKF)的IMM算法更好的数值稳定性、计算精度和收敛速度,还避免了复杂的Jacobi矩阵运算.Monte Carlo仿真验证了该算法的可行性和有效性.
급출료일충기우평방근중심차분잡이만려파적교호다모형(IMM)산법.해산법교호지해결료비선성조건하궤동목표근종적문제,가획득비기우확전잡이만려파(EKF)적IMM산법경호적수치은정성、계산정도화수렴속도,환피면료복잡적Jacobi구진운산.Monte Carlo방진험증료해산법적가행성화유효성.
This paper presents a SRCDKF based IMM algorithm, which can effectively deal with maneuvering target tracking prob-lems in practice. This algorithm performs better in terms of tracking stability, converging speed and numerical precision than those methods such as EKF based IMM algorithm, and also avoids computing complicated Jacobi matnx. Numerous monte carlo simula-tions indicate that our algorithm is both effective and efiicient.