In this paper, we explore the promising capabilities of atomic decomposition (AD) for radar-related applications from a practical point of view. Some enhancements and new approaches are proposed herein, and their implementations are fully detailed. We apply the AD algorithms in two different environments, for signal detection where high sensitivity is the main requirement, and for inverse synthetic aperture radar (ISAR) imaging where focused images, target feature extraction, and computational burden are the fundamental concerns.
机构:
Vienna Univ Technol, Dept Commun & Radio Frequency Engn, Vienna, AustriaVienna Univ Technol, Dept Commun & Radio Frequency Engn, Vienna, Austria
Hlawatsch, F.
Boudreaux-Bartels, G. F.
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机构:
Shell Dev Co, Houston, TX 77001 USA
Ecole Natl Super Telecommun, Paris, FranceVienna Univ Technol, Dept Commun & Radio Frequency Engn, Vienna, Austria
机构:
Vienna Univ Technol, Dept Commun & Radio Frequency Engn, Vienna, AustriaVienna Univ Technol, Dept Commun & Radio Frequency Engn, Vienna, Austria
Hlawatsch, F.
Boudreaux-Bartels, G. F.
论文数: 0引用数: 0
h-index: 0
机构:
Shell Dev Co, Houston, TX 77001 USA
Ecole Natl Super Telecommun, Paris, FranceVienna Univ Technol, Dept Commun & Radio Frequency Engn, Vienna, Austria