基于修正卡尔曼滤波的目标多源跟踪
发布时间：2018-08-17 14:01
【摘要】：针对多源跟踪测量信号处理原则进行了分析和研究,并在此基础上对多源信号筛选和滤波估计值的修正原则进行了研究,确保了所得修正测量值的可靠性和滤波估计值判定门限的可信度。对修正卡尔曼滤波跟踪算法进行了研究,分析了其优势和不足,并提出了采用多源跟踪和修正估计协方差的方法来弥补修正卡尔曼滤波跟踪的不足。仿真对比实验验证了所提出跟踪模型的有效性。
[Abstract]:The principle of signal processing for multi-source tracking measurement is analyzed and studied. On the basis of this, the principle of filtering and filtering estimation of multi-source signal is studied. It ensures the reliability of the revised measurement value and the reliability of the filter estimation threshold. In this paper, the modified Kalman filter tracking algorithm is studied, its advantages and disadvantages are analyzed, and the methods of multi-source tracking and modified estimation covariance are proposed to compensate for the shortcomings of modified Kalman filter tracking. The simulation results show that the proposed tracking model is effective.
【作者单位】： 海军工程大学兵器工程系;海军某军事代表室;
【分类号】：TN713;TN953
，
本文编号：2187861
[Abstract]:The principle of signal processing for multi-source tracking measurement is analyzed and studied. On the basis of this, the principle of filtering and filtering estimation of multi-source signal is studied. It ensures the reliability of the revised measurement value and the reliability of the filter estimation threshold. In this paper, the modified Kalman filter tracking algorithm is studied, its advantages and disadvantages are analyzed, and the methods of multi-source tracking and modified estimation covariance are proposed to compensate for the shortcomings of modified Kalman filter tracking. The simulation results show that the proposed tracking model is effective.
【作者单位】： 海军工程大学兵器工程系;海军某军事代表室;
【分类号】：TN713;TN953
，
本文编号：2187861
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