A tracker-aware detector threshold optimization formulation for tracking maneuvering targets in clutter

Date

2011-09-01

Author

Aslan, Murat Samil
Saranlı, Afşar

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In this paper, we consider a tracker-aware radar detector threshold optimization formulation for tracking maneuvering targets in clutter. The formulation results in an online method with improved transient performance. In our earlier works, the problem was considered in the context of the probabilistic data association filter (PDAF) for non-maneuvering targets. In the present study, we extend the ideas in the PDAF formulation to the multiple model (MM) filtering structures which use PDAFs as modules. Although our results are general for the MM filters, our simulation experiments apply the proposed solution in particular for the interacting multiple model PDAF (IMM-PDAF) case. It is demonstrated that the suggested formulation and the resulting optimization method exhibits notable improvement in transient performance in the form of track loss immunity. We believe the method is promising as a detector-tracker jointly-optimal filter for the IMM-PDAF structure for tracking maneuvering targets in clutter.

Subject Keywords

Control and Systems Engineering, Signal Processing, Electrical and Electronic Engineering, Software, Computer Vision and Pattern Recognition

URI

https://hdl.handle.net/11511/41542

Journal

SIGNAL PROCESSING

DOI

https://doi.org/10.1016/j.sigpro.2011.04.004

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

M. S. Aslan and A. Saranlı, “A tracker-aware detector threshold optimization formulation for tracking maneuvering targets in clutter,” SIGNAL PROCESSING, pp. 2213–2221, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41542.