首页> 外文会议>International Conference on Information Fusion >Performance of state estimate fusion in long-haul sensor networks with message retransmission
【24h】

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

机译:具有消息重传的长途传感器网络中状态估算融合的性能

获取原文

摘要

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:我们考虑一个长途网络,其中传感器远程部署和任务,通过卫星链接向融合中心发送动态目标的状态估计。由于卫星渠道固有的严重损失和延迟,估计数量的估计数可以相当有限。可以应用一定的基于重传的传输协议,以便随着时间的推移可以恢复丢失的消息。但是,可能会产生多余的延迟,可以使用消息重传可能违反报告估计的截止日期。在这项工作中,我们分析了恢复率和状态估计的到达时间表演,通过消息重传和时间截止。我们特别感兴趣地探索消息重传可能提高系统性能的程度。弹道靶跟踪应用的仿真研究结果终止了我们的分析。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号