一种带转向加速度估计的卡尔曼跟踪器用于机动目标跟踪

T. Kawase, H. Tsurunsono, N. Ehara, I. Sasase
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引用次数: 3

摘要

提出了一种基于卡尔曼滤波的雷达机动目标跟踪方法。该方案直接根据机动目标轨迹的特征估计目标加速度输入向量,并根据加速度估计对简单卡尔曼跟踪器进行更新。所提出的加速度估计器比使用卡尔曼滤波残数的输入估计器具有更好的机动跟踪能力。针对不同的目标轮廓进行了仿真,并与传统跟踪器进行了性能比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Kalman tracker with a turning acceleration estimator for maneuvering target tracking
A Kalman filter based scheme is proposed for radar maneuvering target tracking. The proposed scheme estimates the target acceleration input vector directly from the feature of maneuvering target trajectories and updates the simple Kalman tracker by the acceleration estimates. The proposed acceleration estimator provides better maneuver-following capability than an input estimator which uses residues of the Kalman filter. Simulation results for various target profiles are included for a comparison of the performance of our proposed scheme with that of conventional trackers.
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