机动目标自适应跟踪算法研究  

Research on Adaptive Tracking Algorithm of Maneuvering Target

作　　者：潘平俊[1] 冯新喜[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：《火炮发射与控制学报》2007年第3期33-36,共4页Journal of Gun Launch & Control

摘　　要：为了克服"当前"统计模型自适应跟踪算法(CAF)跟踪匀速运动目标误差较大和跟踪加速机动目标速度与加速度估计误差和动态时延较大的缺陷,通过分析研究CAF算法,采用截断正态分布表征目标的机动加速度特性,考虑风速和加速度估计均值的影响,对机动加速度与方差自适应关系修正,自适应补偿过程噪声协方差矩阵,提出了一种改进的机动目标自适应跟踪算法。理论分析与仿真结果表明,该算法能够准确描述目标的各种机动情况,具有良好的跟踪性能和实际应用价值。Adaptive tracking algorithm based on Current Statistical Model （CSM） has greater errors in tracking a moving target with constant speed, and has larger defects in estimating speed and acceleration errors as well as dynamic performances of accelerated moving target. In o7 ter to overcome the above mentioned disadvantages, a modified adaptive tracking algorithm of moving target was presented. In this algorithm, normal distribution was taken as moving acceleration characteristics, and speed of wind and mean value of current acceleration estimate were considered. The relation of maneuvering acceleration and its covariance was adjusted so as to compensate noise covariance matrix of self-adaptive procedure. Theoretical analysis and simulation results showed that this algorithm can describe all kinds of target maneuvering motion under the conditions of various courses, and has better tracking performances and practical application value.

关 键 词：信息处理技术 机动目标模型 统计模型 自适应跟踪 

分 类 号：TN953[电子电信—信号与信息处理]