Optimal shadowing filter for a positioning and tracking methodology with limited information

Ayham Zaitouny, Thomas Stemler, Shannon Dee Algar

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


Positioning and tracking a moving target from limited positional information is a frequently-encountered problem. For given noisy observations of the target’s position, one wants to estimate the true trajectory and reconstruct the full phase space including velocity and acceleration. The shadowing filter offers a robust methodology to achieve such an estimation and reconstruction. Here, we highlight and validate important merits of this methodology for real-life applications. In particular, we explore the filter’s performance when dealing with correlated or uncorrelated noise, irregular sampling in time and how it can be optimised even when the true dynamics of the system are not known.

Original languageEnglish
Article number931
JournalSensors (Switzerland)
Issue number4
Publication statusPublished - Feb 2 2019
Externally publishedYes


  • Correlated noise
  • Irregular sampling
  • Positioning
  • Shadowing filter
  • Singularities
  • Tracking

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering


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