带机动输入诊断和估计的自校正α-β-γ跟踪滤波器

A SELF-TUNING α-β-γ TRACKING FILTER WITH A MANEUVERING INPUT DECISION AND ESTIMATION

  • 摘要: 对于带未知噪声统计的机动目标跟踪系统,本文提出了一种新的自校正跟踪方案,它由一个简单的自校正α-β-γ滤渡器、机动输入判决器和带输入估计的自校正α-β-γ滤波器组成,当判决机动加速度输入出现时,则简单的自校正α-β-γ滤波器立即被用带输入估计的自校正α-β-γ滤波器代替,以保证跟踪滤波器的精度,仿真结果说明了新方案的有效性.

     

    Abstract: For tracking a maneuvering target with unknown noise statistics,this paper presents a new self-tuning tracking scheme,which consists of a simple self-tunlng α-β-γ filter,a maneuvering input decision and a selftuning α-β-γ filter with input estimation.When a maneuvering acceleration input has occurred,the simple self-tuning α-β-γ filter is replaced immediately by a self-tuning α-β-γ filter with input estimation,so that the accuracy of tracking filter is ensured.Simulation results show the effectiveness of the proposed scheme.

     

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