摘要
针对"当前"统计模型算法跟踪弱机动目标性能较低的缺陷,在分析当前统计模型算法及滤波增益特性,参考了几种修正的当前统计模型算法思路的基础上,根据能够抑制滤波发散的渐消因子构造了基于"当前"统计模型的自适应滤波算法。仿真结果表明该算法克服了当前统计模型的缺陷,在实时性与精度两方面得到了平衡,易于工程实现。
In allusion to the limitation of ＂Current＂ Statistcal Model algorithm that behaves low performance when tracking non-maneuvering target,based on the analysis of the characteristic of ＂current＂ statistical model and filter plus,this paper constructs ＂current＂ statistical model based adaptive filter algorithm according to the fading factor based on the reference of several modified current statistical model algorithms.The results of simulation indicate that it overcomes the faults of ＂current＂ statistical model,and get balance between real-time and precision.It is easy to project realization.
出处
《火力与指挥控制》
CSCD
北大核心
2010年第5期86-89,共4页
Fire Control & Command Control
关键词
滤波增益
渐消因子
机动频率
filtering plus
fading factor
maneuvering frequency
