New Prediction for Extended Targets With Random Matrices

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Date

2014-04-01

Author

Granstrom, Karl
Orguner, Umut

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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.

Subject Keywords

Electrical and Electronic Engineering, Aerospace Engineering

URI

https://hdl.handle.net/11511/40488

Journal

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS

DOI

https://doi.org/10.1109/taes.2014.120211

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

K. Granstrom and U. Orguner, “New Prediction for Extended Targets With Random Matrices,” IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, pp. 1577–1589, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40488.