Multiple Target Tracking With Unresolved Measurements

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

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

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1109/lsp.2021.3051858
  • Dergi Adı: IEEE SIGNAL PROCESSING LETTERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.319-323
  • Anahtar Kelimeler: 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 Üniversitesi Adresli: Evet

Özet

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.