• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Multisensor deployment using PCRLBS, incorporating sensor deployment and motion uncertainties
【24h】

Multisensor deployment using PCRLBS, incorporating sensor deployment and motion uncertainties

机译：使用PCRLBS的多传感器部署，结合了传感器部署和运动不确定性

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Recently, a general framework for sensor resource deployment (Hernandez, et. al. 2004) has been shown to allow efficient and effective utilization of a multisensor system. The basis of this technique is to use the posterior Cramer-Rao lower bound (PCRLB) to quantify and control the optimal achievable accuracy of target state estimation. In the original formulation (Hernandez, et. al. 2004) it was assumed that the sensor locations were known without error. In the current paper, the authors extend this framework by addressing the issues of imperfect sensor placement and uncertain sensor movement (e.g., sensor drift). The crucial consideration is then how these two forms of uncertainty are factored into the sensor management strategy. If unaccounted for, these uncertainties will render the output of the resource manager inaccurate and overoptimistic. The authors adjust the PCRLB to account for sensor location uncertainty, and we also allow for measurement origin uncertainty due to missed detections and false alarms. The work is motivated by the problem of tracking a submarine by adaptively deploying sonobuoys from a helicopter. Simulation results are presented to show the advantages of accounting for sensor location uncertainty within this focal domain of antisubmarine warfare. The authors note that the generic nature of the technique allows it to be utilized within other problem domains, including tracking ground-based targets using unattended ground sensors (UGSs) or unmanned aerial vehicles (UAVs)
机译：最近，已经显示出用于传感器资源部署的通用框架（Hernandez等，2004），可以有效地利用多传感器系统。该技术的基础是使用后Cramer-Rao下界（PCRLB）来量化和控制目标状态估计的最佳可达到精度。在原始公式中（Hernandez等，2004），假定传感器位置是已知的，没有错误。在当前的论文中，作者通过解决传感器放置不完善和传感器运动不确定（例如传感器漂移）的问题来扩展了该框架。然后，关键的考虑是如何将这两种不确定性因素纳入传感器管理策略。如果无法解决，这些不确定性将使资源管理器的输出不准确且过于乐观。作者对PCRLB进行了调整，以解决传感器位置的不确定性问题，并且由于检测缺失和错误警报，我们还考虑了测量原点的不确定性。这项工作的动机是通过从直升机上自适应部署声纳浮标来跟踪潜艇的问题。仿真结果表明，在反潜战这一重点领域内解决传感器位置不确定性的优势。作者指出，该技术的通用性质使其可以在其他问题域中使用，包括使用无人值守地面传感器（UGS）或无人飞行器（UAV）跟踪基于地面的目标

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