一种基于小采样周期的机动目标模型  

Maneuvering target model based on small sampling period

作　　者：潘平俊[1] 冯新喜[1] 刘英坤[1] 齐立锋[1] 

机构地区：[1]空军工程大学电讯工程学院,陕西西安710077

出　　处：《系统工程与电子技术》2007年第11期1815-1818,共4页Systems Engineering and Electronics

摘　　要：通过对"当前"统计模型和常加速模型的分析研究,提出了一种基于小采样周期的机动目标模型。该模型通过构造一个函数来自适应调整常加速模型的过程噪声协方差矩阵。当采样周期T较小时,具有与"当前"统计模型相当甚至更高的跟踪精度和较小的计算量。理论分析和仿真结果表明该模型的有效性。In sensor target tracking and data processing,building a dynamic model of target motion plays an important role.By researching the current statistical model and constant acceleration model for target tracking,a maneuvering target model based on small sampling period is presented by designing a function which adaptively adjusts its covariance matrix of process noise.The model outperforms current statistical model in both tracking accuracy and computation when the sampling period of sensor is smaller.The theoretic analyses and simulation results show that the model is valid.

关 键 词：机动目标模型 “当前”统计模型 常加速模型 自适应调整 采样周期 

分 类 号：TN953[电子电信—信号与信息处理]