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Performance of state estimate fusion in long-haul sensor networks with message retransmission

机译:消息重传的远程传感器网络中状态估计融合的性能

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We consider a long-haul network in which sensors are remotely deployed and tasked to send state estimates of a dynamic target to the fusion center via satellite links. Due to severe loss and delay inherent in satellite channels, the number of estimates successfully arriving at the fusion center can be quite limited. A certain retransmission-based transport protocol can be applied so that lost messages can be recovered over time. However, excess delay may be incurred with message retransmission that can potentially violate the deadline for reporting the estimate. In this work, we analyze the recovery rate and the arrival time performances of the state estimates with message retransmission and time cutoff. We are particularly interested in exploring the extent to which message retransmission can potentially improve the system performance. Results of simulation studies of a ballistic target tracking application are shown in the end to complement our analysis.
机译:我们考虑一个远程网络,在该网络中远程部署传感器,并负责将动态目标的状态估算值通过卫星链路发送到融合中心。由于卫星信道固有的严重损耗和延迟,成功到达融合中心的估计数可能会非常有限。可以应用某些基于重传的传输协议,以便可以随时间恢复丢失的消息。但是,消息重新传输可能会导致过多的延迟,这可能会违反报告估计的截止日期。在这项工作中,我们通过消息重传和时间截止来分析状态估计的恢复率和到达时间性能。我们对探索消息重传可以潜在地改善系统性能的程度特别感兴趣。最后显示了弹道目标跟踪应用程序的仿真研究结果,以补充我们的分析。

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