Multitarget Range-Azimuth Tracker
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: 1519
KeyWords: CONVERTED MEASUREMENTS; LOCALIZATION; TARGETSDOI: 10.1109/TAES.2015.130426Citations: 2data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2021-10-24References taken from IsiWeb of Knowledge: (subscribers only)Connecting to view paper tab on IsiWeb: Click hereConnecting to view citations from IsiWeb: Click here