Extended Target Tracking using a Gaussian-Mixture PHD Filter

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Atıf İçin Kopyala

Granstrom K., Lundquist C., Orguner O.

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, cilt.48, ss.3268-3286, 2012 (SCI-Expanded)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 48
• Basım Tarihi: 2012
• Doi Numarası: 10.1109/taes.2012.6324703
• Dergi Adı: IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Sayfa Sayıları: ss.3268-3286
• Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

This paper presents a Gaussian-mixture (GM) implementation of the probability hypothesis density (PHD) filter for tracking extended targets. The exact filter requires processing of all possible measurement set partitions, which is generally infeasible to implement. A method is proposed for limiting the number of considered partitions and possible alternatives are discussed. The implementation is used on simulated data and in experiments with real laser data, and the advantage of the filter is illustrated. Suitable remedies are given to handle spatially close targets and target occlusion.