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Title: Operational assessment and adaptive selection of micro-Doppler features
Authors: Gürbüz, Sevgi Zübeyde
Erol, Barış
Çağlıyan, Bahri
Tekeli, Bürkan
Keywords: search radar
feature selection
Doppler radar
radar signal processing
signal classification
object detection
radar surveillance system
ground-based target discrimination
automatic target classification
microDoppler feature adaptive selection
transmit frequency
range resolution
Doppler resolution
antenna-target geometry
signal-to-noise ratio
dwell time
Issue Date: 2015
Publisher: Inst Engineering Technology-Iet
Abstract: A key challenge for radar surveillance systems is the discrimination of ground-based targets, especially humans from animals, as well as different types of human activities. For this purpose, target micro-Doppler signatures have been shown to yield high automatic target classification rates; however, performance is typically only given for near-optimal operating conditions using a fixed set of features. Over the past few decades dozens of micro-Doppler features have been proposed, when in fact utilisation of all possible features does not guarantee the maximum classification performance and the selection of an optimal subset of features is scenario dependent. In this work, a comprehensive survey of micro-Doppler features and their dependence upon system parameters and operational conditions - such as transmit frequency, range and Doppler resolution, antenna-target geometry, signal-to-noise ratio, and dwell time - is given. Algorithms for optimising classification performance for a reduced number of features are presented. Performance gains achievable using adaptive feature selection are assessed for a case study of interest.
ISSN: 1751-8784
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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