首页    期刊浏览 2025年06月15日 星期日
登录注册

文章基本信息

  • 标题:Navigation and Source Localization based on Single Pseudo-Ranges with an Unknown Multiplicative Factor ⁎
  • 本地全文:下载
  • 作者:Pedro Batista
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:14662-14667
  • DOI:10.1016/j.ifacol.2020.12.1477
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents a novel estimation solution for the problems of navigation and source localization based on pseudo-range measurements to a single pinger. In particular, the distance measurements are assumed to be corrupted by an unknown multiplicative factor, which is explicitly taken into consideration in the design. First, the equivalence between the problems of navigation and source localization is established, as well as cooperative navigation of two vehicles in tandem. Then, an augmented system is derived and its observability is carefully studied. The analysis is constructive, in the sense that the means to design an observer for the new system dynamics with globally exponentially stable error dynamics are readily available, resorting to linear systems theory. Moreover, the new augmented system is shown to be equivalent to the original one. Finally, simulations results are presented and discussed to assess the performance of the proposed solution in the presence of sensor noise.
  • 关键词:KeywordsPseudo-rangesnavigationsingle rangesKalman filternonlinear estimation
国家哲学社会科学文献中心版权所有