Multitarget Range-Azimuth Tracker

Year: 2015

Authors: Bandiera F., Del Coco M., Ricci G.

Autors Affiliation: Univ Salento, Dipartimento Ingn Innovaz, I-73100 Lecce, Italy; CNR, INO, I-73010 Arnesano, LE, Italy.

Abstract: We focus on the design of a Kalman filter-based algorithm to track multiple targets in range and azimuth. The detection stage implements a multitarget strategy aimed at collecting and eventually processing all target measurements. Existing tracks are updated using a joint probabilistic data association (JPDA) algorithm to handle the data association problem. We model target echoes as coherent pulse trains in white Gaussian noise with unknown power. The performance analysis assumes a maritime scenario and shows that the proposed tracker outperforms more conventional approaches.

Journal/Review: IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS

Volume: 51 (2)      Pages from: 1515  to: 1529

More Information: This work has been partly supported by CNIT within the HABITAT project (PON-011936) funded by MIUR.
KeyWords: Converted Measurements; Localization; Targets
DOI: 10.1109/TAES.2015.130426

ImpactFactor: 1.672
Citations: 2
data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2024-12-08
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