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An Optimal Radar Detector Threshold Adaptation for Maneuvering Targets in Clutter
Date
2009-04-11
Author
Aslan, Murat Samil
Saranlı, Afşar
Metadata
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In this paper, we consider the problem of radar detector threshold optimization for maneuvering targets in clutter In the earlier works, the problem was studied in the context of the probabilistic data association filter (PDAF) for non-maneuvering targets. In this study, we have extended the ideas, which were applied to the PDAF to the interacting multiple model PDAF (IMM-PDAF) for maneuvering targets. The proposed optimization problem and its solution show better results over the traditional approaches in terms of track loss percentage and RMS position error criteria.
Subject Keywords
Tracking
,
Optimization
URI
https://hdl.handle.net/11511/55710
Conference Name
IEEE 17th Signal Processing and Communications Applications Conference
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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M. S. Aslan and A. Saranlı, “An Optimal Radar Detector Threshold Adaptation for Maneuvering Targets in Clutter,” presented at the IEEE 17th Signal Processing and Communications Applications Conference, Antalya, TURKEY, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55710.
