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首页> 外文期刊>Chinese journal of aeronautics >Application of Road Information in Ground Moving Target Tracking
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Application of Road Information in Ground Moving Target Tracking

机译：道路信息在地面运动目标跟踪中的应用

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摘要

A new algorithm is developed to achieve accurate state estimation in ground moving target tracking by means of using road information. It is an adaptive variable structure interacting multiple model estimator with dynamic models modification (DMM VS-IMM for short). Firstly, road information is employed to modify the target dynamic models used by filter, including modification of state transition matrix and process noise. Secondly, road information is applied to update the model set of a VS-IMM estimator. Predicted state estimation and road information are used to locate the target in the road network on which the model set is updated and finally IMM filtering is implemented. As compared with traditional methods, the accuracy of state estimation is improved for target moving not only on a single road, but also through an intersection. Monte Carlo simulation demonstrates the efficiency and robustness of the proposed algorithm with moderate computational loads.
机译：开发了一种新算法，可以利用道路信息在地面运动目标跟踪中实现准确的状态估计。它是一种自适应变量结构，可将多模型估算器与动态模型修改（DMM VS-IMM）进行交互。首先，利用道路信息来修改滤波器使用的目标动态模型，包括状态转移矩阵和过程噪声的修改。其次，应用道路信息来更新VS-IMM估计器的模型集。预测的状态估计和道路信息用于在更新模型集的道路网络中定位目标，并最终实现IMM过滤。与传统方法相比，不仅可以在单个道路上而且可以在交叉路口移动目标，从而提高了状态估计的准确性。蒙特卡洛仿真证明了该算法在中等计算负荷下的效率和鲁棒性。

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