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Article detail · 2014

New prediction for extended targets with random matrices

Journal

IEEE Transactions on Aerospace and Electronic Systems

ISSN 0018-9251

YÖKSİS OpenAlex Open access · green SJR Q1 JCR Q1 Citations 94 Top 10% Percentile 98.2% FWCI 11.28
Year
2014
DOI
10.1109/TAES.2014.120211
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue IEEE Transactions on Aerospace and Electronic Systems
  • Catalog match (ISSN) IEEE Transactions on Aerospace and Electronic Systems
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

OpenAlex record

Abstract

OpenAlex · English

This paper presents a new prediction update for extended targets whose extensions are modeled as random matrices. The prediction is based on several minimizations of the Kullback-Leibler divergence (KL-div) and allows for a kinematic state dependent transformation of the target extension. The results show that the extension prediction is a significant improvement over the previous work carried out on the topic.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

94 citations

OpenAlex cited_by_count (cache / database)

3 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. GP-PDA Filter for Extended Target Tracking With Measurement Origin Uncertainty 2019 Citations 36 · OpenAlex
  2. A Random Matrix Measurement Update Using Taylor-Series Approximations 2018 Citations 7 · OpenAlex
  3. Posterior Cramér-Rao lower bounds for extended target tracking with random matrices 2016 Citations 5 · OpenAlex

Authors

  1. Karl Granstrom
  2. UMUT ORGUNER ORTA DOĞU TEKNİK ÜNİVERSİTESİ