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Examination of a Popular Out-of-Sequence Measurement Update Algorithm

机译:检验流行的失序测量更新算法

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摘要

We examine an out-of-sequence measurement (OoSM) update algorithm by Bar-Shalom. We demonstrate that "Algorithm C" is mathematically equivalent to initializing a track with the OoSM, predicting that track to the current time without process noise, then using the OoSM track as a pseudomeasurement to update the system track. We argue that a more reasonable approximation includes process noise in the OoSM prediction. Like Algorithm C, the proposed algorithm makes use only of current track information.
机译:我们检查了Bar-Shalom的失序测量(OoSM)更新算法。我们证明了“算法C”在数学上等同于使用OoSM初始化轨道,预测该轨道到当前时间而没有过程噪声,然后使用OoSM轨道作为伪测量来更新系统轨道。我们认为,更合理的近似值包括OoSM预测中的过程噪声。与算法C一样,提出的算法仅使用当前轨道信息。

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