A Track-Before-Detect Strategy Based on Sparse Data Processing for Air Surveillance Radar Applications

A Track-Before-Detect Strategy Based on Sparse Data Processing for Air Surveillance Radar Applications

In this paper we consider the tracking problem of a moving target competing against noise and clutter in a surveillance radar scenario. For a single array-antenna multiple-target tracking system and according to the Track-Before-Detect paradigm, we present a novel approach based on a three-stage pro...

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Bibliographic Details
Main Authors: Nicomino Fiscante, Pia Addabbo, Carmine Clemente, Filippo Biondi, Gaetano Giunta, Danilo Orlando
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
air surveillance radar
clustering
machine learning
multiple-target tracking
radar
sparse data recovery
Online Access:https://www.mdpi.com/2072-4292/13/4/662

Internet

https://www.mdpi.com/2072-4292/13/4/662

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