摘要
随着雷达测量性能和信号处理水平的不断提高,对目标的探测提供了目标更多的特征信息,因此传统研究中将目标视为质点的假设具有一定的局限性。对雷达跟踪海面舰船目标展开研究,首先利用目标的尺寸参数将目标建模为具有一定形态的椭圆模型,并构建出扩展量测模型。然后采用IMM-SCKF算法对扩展目标进行跟踪滤波,通过扩展信息提高算法的跟踪精度。最后通过机动目标跟踪仿真,验证了所提算法相比于传统的质点算法具有更好的跟踪性能。
With the improvement of radar measurement performance and signal processing level, the target detection provides more target information. Therefore, the traditional assumption that the target is regarded as a particle has some limitations. The radar tracking of the surface ship targets is studied. Firstly, it is modeled as an expansion target of the elliptic model by using the size parameter of the target, and an extended measurement model is constructed. Then the IMM-SCKF (interacting multiple model-square cubature Kalman filter) algorithm is used to track the target, and the tracking accuracy of the algorithm is improved by extending the information. Finally, the maneuvering target tracking simulation verifies that the proposed algorithm has better tracking performance than the traditional particle algorithm.
作者
于泽祥
蔡宗平
杨剑
卫浩
YU Ze-xiang;CAI Zong-ping;YANG Jian;WEI Hao(Rocket Force University of Engineering,Shaanxi Xi′an 710025,China)
出处
《现代防御技术》
2019年第4期90-96,共7页
Modern Defence Technology
基金
国家自然科学基金(61501471)
关键词
非线性
扩展目标模型
交互式多模型
平方根容积卡尔曼滤波
雷达跟踪
机动目标
nonlinear
extended target model
interacting multiple model(IMM)
square cubature Kalman filter(SCKF)
radar tracking
maneuvering target
