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基于小采样周期的机动目标模型跟踪性能研究
引用本文:熊久良,徐宏,韩壮志,封吉平,何强. 基于小采样周期的机动目标模型跟踪性能研究[J]. 军械工程学院学报, 2011, 0(5): 41-44
作者姓名:熊久良  徐宏  韩壮志  封吉平  何强
作者单位:军械工程学院光学与电子工程系,河北石家庄050003
摘    要:分析了小采样周期条件下“当前”统计模型、基于速度估计的自适应模型及自适应常加速度模型,对3种模型的稳态性能和动态性能进行了分析比较,并对3种模型的机动目标跟踪效果进行了仿真。仿真结果表明:小采样周期条件下,3种模型的稳态跟踪性能一致,而在动态跟踪条件下自适应加速度模型性能更优。

关 键 词:机动目标模型  “当前”统计模型  速度估计自适应模型  自适应常加速度模型

Study on Tracking Performance of Maneuvering Target Model Based on Small Sampling Period
XIONG Jiu-liang,XU Hong,HAN Zhuang-zhi,FENG Ji-ping,HE Qiang. Study on Tracking Performance of Maneuvering Target Model Based on Small Sampling Period[J]. Journal of Ordnance Engineering College, 2011, 0(5): 41-44
Authors:XIONG Jiu-liang  XU Hong  HAN Zhuang-zhi  FENG Ji-ping  HE Qiang
Affiliation:(Department of Optics and Electronics Engineering,Ordnance Engineering College,Shijiazhuang 050003,China)
Abstract:After analyzing the"current"statistical (CS)model and self-adaptive constant acceleration based on velocity estimation (SCA)model and adaptive constant acceleration (ACA)model based on small sampling period, this paper analyzes the reliable and dynamic performances of the three models and algorithms. Simulation results show that their reliable performances are nearly the same while ACA model's dynamic performance is much better than the other models based on small sampling period.
Keywords:maneuvering target model  CS model  SCA model  ACA model
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