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一种改进的α-β-γ滤波跟踪算法 被引量:8

A Fuzzy and Better Target Tracking Algorithm Based on α-β-γ Filter
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摘要 α-β-γ滤波器是一种高速的目标跟踪器。该文章针对传统α-β-γ滤波跟踪精度与收敛速度之间存在的矛盾以及由于系数固定而难以跟踪强机动性目标的局限性,设计了一种自适应α-β-γ滤波算法,根据目标机动性的变化,利用跟踪误差调整模糊系统的输出,在保证精度的前提下,得到自适应的系数值,使跟踪结果快速收敛,很好地解决了跟踪精度与收敛速度之间的矛盾。仿真结果表明,在满足所要求精度的前提下,该算法跟踪机动性强的目标比传统的α-β-γ滤波算法具有更强的自适应性。 Aim. Ref. 4 authored by Guo et al is, in our opinion, still deficient in tracking targets of high maneuverability. We now apply fuzzy sets to making both tracking accuracy and convergence rate acceptable for such targets. In the full paper, we explain in some detail our fuzzy target tracking algorithm; in this abstract, we just add some pertinent remarks to listing the title of section 1, which is: the tracking algorithm based on α-β-γ filter. The five subsections of section 1 are: α-β-γ filter(subsection 1.1), the formulas for α-β-γ filter (subsection 1.2), the deficiency of the traditional tracking algorithm based on α-β-γ filter(subsection 1.3), our fuzzy tracking algorithm based on α-β-γ filter(subsection 1.4), and the implementation of the fuzzy tracking algorithm and the analysis of the results obtained(subsection 1.5). In subsection 1.3, we point out that the deficiency of the traditional tracking algorithm is that the tracking accuracy and convergence rate cannot be both acceptable simultaneously for targets of high maneuverability. The three sub-subsections of subsection 1.4 are: fuzzy reasoning (sub-subsection 1.4.1), the determination of fuzzy rules (sub-subsection 1.4.2), and the quantification of fuzzy parameters. In subsection 1.4, we use seven fuzzy sets to represent input and output and the seven fuzzy sets correspond respectively to the seven functions of the degrees of the membership, as shown in Fig. 4 in the full paper. In subsection 1.5, we perform the computer simulation of the fuzzy tracking algorithm. The analysis of simulation results, shown in Fig. 5, indicates preliminarily that our fuzzy tracking algorithm does ensure that both tracking accuracy and convergence rate can be acceptable for targets of high maneuverability.
出处 《西北工业大学学报》 EI CAS CSCD 北大核心 2008年第2期146-151,共6页 Journal of Northwestern Polytechnical University
关键词 Α-Β-Γ滤波 目标跟踪 模糊 跟踪精度 收敛速度 fuzzy sets, computer simulation, α-β-γ filter, tracking accuracy, convergence rate
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参考文献8

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二级参考文献1

共引文献11

同被引文献38

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