New Prediction for Extended Targets With Random Matrices

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Atıf İçin Kopyala

Granstrom K., ORGUNER U.

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, cilt.50, sa.2, ss.1577-1589, 2014 (SCI-Expanded)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 50 Sayı: 2
• Basım Tarihi: 2014
• Doi Numarası: 10.1109/taes.2014.120211
• Dergi Adı: IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Sayfa Sayıları: ss.1577-1589
• Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.