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Removal of Out-of-Sequence Measurements from Tracks

机译:从轨道中删除乱序测量

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In multisensor tracking systems that operate in a centralized or distributed information processing architecture, measurements from the same target obtained by different sensors can arrive at the processing center out of sequence due to system latencies. In order to avoid either a delay in the output or the need for reordering and reprocessing entire sequences of measurements, such latent measurements have to be processed by the tracking filter as out-of-sequence measurements (OOSM). Recent work developed a "one-step" procedure for incorporating OOSM with multiple-time-step latency into the tracking filter, which, while suboptimal, was shown to yield results very close to those obtained by reordering and reprocessing an entire sequence of measurements. The counterpart of this problem is the need to remove (revocate) measurements that have already been used to update a track state. This can happen in real-world systems when such measurements are reassigned to another track. Similarly to the problem of update with an OOSM, it is desired to carry out the removal of an earlier measurement without recomputing the track estimate (and the data association) using possibly a long sequence of subsequent measurements one at a time. A one-step algorithm is presented for this problem of removing a multistep OOSM.
机译:在以集中式或分布式信息处理体系结构运行的多传感器跟踪系统中,由于系统延迟,由不同传感器获得的来自同一目标的测量值可能会不按顺序到达处理中心。为了避免输出中的延迟或避免对整个测量序列进行重新排序和重新处理,此类潜在测量必须由跟踪滤波器作为乱序测量(OOSM)进行处理。最近的工作开发了一种“一步”程序,可将具有多个时间步长延迟的OOSM合并到跟踪滤波器中,尽管次优,但显示出的结果与通过重新排序和重新处理整个测量序列获得的结果非常接近。与该问题相对应的是需要删除(取消)已经用于更新轨道状态的测量。当这样的测量值重新分配给另一个轨道时,这可能会在现实世界的系统中发生。与用OOSM更新的问题类似,希望执行一次较早的测量,而不必一次使用很长的后续测量序列来重新计算轨迹估计(和数据关联)。针对消除多步OOSM的问题,提出了一种单步算法。

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