摘要
针对目前高机动目标跟踪的Jerk模型存在计算复杂度高的不足,提出一种四维常增益滤波器:α-β-γ-δ模型。给出模型中α、β、γ和δ的计算公式,并将它与αβ-、α-β-γ滤波器组合得到一种常增益组合滤波算法,克服单一滤波器只能跟踪特定运动方式的目标的缺点。最后对一种典型的目标机动形式进行Monte Carlo仿真,结果表明新算法对于解决机动目标跟踪问题的有效性。
Aiming at the shortcomings of the computational complexity of the Jerk model for highly maneuvering target tracking, a four dimension constant gain filter is proposed which is named as α-β-γ-δ model and the computing formulae for α,β, γ and 8 are provided too. A combined constant gain filter algorithm is found by compounding α-β, α-β-γ and α-β-γ-δ filters, and it conquers the shortcoming of single filter in tracking specific target of movement mode only. Finally, the Monte Carlo simulation is carried out on a typical maneuvering movement, and the results show the validity of the new algorithm in tracking the maneuvering target.
出处
《计算机应用与软件》
CSCD
2009年第7期17-18,93,共3页
Computer Applications and Software
基金
2006年教育部新世纪优秀人才计划项目
国家自然科学基金(60472060
60572034)
江苏省自然科学基金(BK200681)
