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Comparison of Kalman filter and converted measurements Kalman filter for interacting multiple model

机译:卡尔曼滤波器和转换测量卡尔曼滤波器的比较进行交互多模型

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It is well known that Converted Measurements Kalman Filter performs better Kalman Filter when the measurements are obtained in polar coordinates. In this study, we show that when used with Interacting Multiple Model, Kalman Filter has a better performance than Converted Measurements Kalman Filter, as opposed to the single mode case, for the case of high target distance, heavy target maneuvers and high measurement noise. We also show that this becomes even more pronounced as the number of modes increases.
机译:众所周知,当在极性坐标中获得测量时,转换的测量卡尔曼滤波器在测量获得时执行更好的卡尔曼滤波器。在这项研究中,我们表明,当与交互多模型一起使用时,卡尔曼滤波器比转换测量卡尔曼滤波器具有更好的性能,而不是单模案例,对于高目标距离,重型目标机动和高测量噪声的情况。我们还表明,随着模式数量的增加,这变得更加明显。

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