一种精确跟踪机动目标的滤波算法的研究  

A nonlinear filtering algorithm for precise tracking of maneuvering target

作　　者：顾潮琪[1] 周德云[1] 曲艺海[1] 

机构地区：[1]西北工业大学电子信息学院,西安710072

出　　处：《电光与控制》2007年第2期8-11,共4页Electronics Optics & Control

摘　　要：介绍一种自适应调整过程噪声方差的滤波计算新方法。此方法不需要目标机动的先验知识,而是构造一个可自适应调整的缩放因子,通过该因子对过程噪声进行调节。结合协方差匹配自适应滤波算法的思想,给出一种新的机动目标跟踪算法。通过蒙特卡洛仿真,同IMM算法进行比较,结果表明算法在目标发生机动时具有更好的性能。A new filtering approach is proposed for calculating the variance of adaptive adjustment process noise. This approach does not rely on the prior knowledge to the target motion, and utilizes a zoom factor, which can adjust itself adaptively. By this factor, the process noise covariance can be modified . By using the idea of covariance matching, a new maneuvering target tracking algorithm is proposed. By means of Monte - Carlo simulation, the performance of the proposed algorithm is compared with that of an IMM algorithm. The proposed filter produces better estimates than the IMM algorithm during maneuvering periods.

关 键 词：机动目标跟踪 自适应滤波 过程噪声 缩放因子 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计] TN713[电子电信—电路与系统]