Multiple Target Tracking With Unresolved Measurements

Angle R. B., Streit R. L., EFE M.

IEEE SIGNAL PROCESSING LETTERS, vol.28, pp.319-323, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 28
  • Publication Date: 2021
  • Doi Number: 10.1109/lsp.2021.3051858
  • Journal Name: IEEE SIGNAL PROCESSING LETTERS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.319-323
  • Keywords: Target tracking, Logic gates, Clutter, Sensors, Bayes methods, Standards, Probabilistic logic, Analytic combinatorics, joint probabilistic data association, merged measurements, multiple target tracking, sensor resolution
  • Ankara University Affiliated: Yes

Abstract

A multiple target tracking filter is developed for merged measurement problems that arise with finite resolution sensors. The resulting combinatorial problem is incorporated directly in the joint likelihood function using analytic combinatorics techniques. The Bayesian filter is a sum of several terms that correspond one-to-one to the set of all feasible hypotheses about measurements and targets, i.e., resolved/unresolved, detected/undetected. Performance is demonstrated for two targets in both crossing and parallel target motion scenarios.