首页> 外文会议>MILITARY COMMUNICATIONS CONFERENCE, 2011 - MILCOM 2011 >Improved localization in GPS-denied environments using an autoregressive model and a generalized linear model
【24h】

Improved localization in GPS-denied environments using an autoregressive model and a generalized linear model

机译:使用自回归模型和广义线性模型改善GPS拒绝环境中的定位

获取原文
获取原文并翻译 | 示例

摘要

The Theater Positioning System (TPS), which can perform in GPS-denied environments and can work with, or independently of, GPS systems, was presented in [1]. The principal difficulty in optimally combining this new system and GPS is introduced by the environment, which may impart somewhat unpredictable transmission delays to the signal and thus results in less accurate performance when TPS works unaided in the environment while GPS is unavailable. In this paper, we propose two methods-an autoregressive process and a generalized linear model to model the transmission delays generated in TPS signal propagation. Using those, the unknown signal delays can be predicted and thus can be employed in the subsequent localization process. Numerical examples are provided to illustrate the performance of both methods proposed in this paper.
机译:在[1]中介绍了剧院定位系统(TPS),它可以在GPS受限的环境中运行,并且可以与GPS系统一起工作,也可以独立于GPS系统工作。环境引入了将新系统与GPS最佳组合的主要困难,这可能会给信号带来一些不可预测的传输延迟,因此当在GPS不可用的情况下,TPS在环境中独立工作时,会导致准确度较低。在本文中,我们提出了两种方法-自回归过程和广义线性模型来对TPS信号传播中产生的传输延迟进行建模。使用这些,可以预测未知的信号延迟,因此可以在随后的定位过程中使用。数值例子说明了本文提出的两种方法的性能。

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