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首页> 外文期刊>IEEE Transactions on Automatic Control >Multirate interacting multiple model filtering for target tracking using multirate models
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Multirate interacting multiple model filtering for target tracking using multirate models

机译：多速率交互多模型过滤以使用多速率模型进行目标跟踪

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摘要

A multirate interacting multiple model (MRIMM) tracking algorithm has been developed. The algorithm is based on a reformulation of the interacting multiple model (IMM) filter under the assumption that each model operates at an update rate proportional to the model's assumed dynamics. A set of multirate models is derived based on the geometrical interpretation of a discrete wavelet transform. A wavelet transform is used to generate equivalent multirate measurements, which exhibit the additional property of lower equivalent measurement noise for low-rate data. Using this filtering approach, the MRIMM algorithm significantly outperforms a full-rate IMM filter when no manoeuvres occur and performs comparably with the IMM filter when manoeuvres occur, with a certain amount of computational savings. This approach also has the advantages of improved sensitivity for manoeuvre detection.
机译：已经开发了一种多速率交互多模型（MRIMM）跟踪算法。该算法基于交互多模型（IMM）过滤器的重新制定，假定每个模型都以与模型假设的动力学成比例的更新速率运行。基于离散小波变换的几何解释，得出一组多速率模型。小波变换用于生成等效的多速率测量，对于低速率数据，它具有较低的等效测量噪声的附加属性。使用这种过滤方法，MRIMM算法在不发生机动时会明显胜过全速率IMM滤波器，并且在发生机动时与IMM滤波器具有相当的性能，从而节省了一定的计算量。该方法还具有改进的机动检测灵敏度的优点。

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