Discrimination of human targets for radar surveillance via micro‐Doppler characteristics | Zendy

McDonald Michael Kenneth | Zendy

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Discrimination of human targets for radar surveillance via micro‐Doppler characteristics

Author(s) -

McDonald Michael Kenneth

Publication year - 2015

Publication title -

iet radar, sonar and navigation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.489

H-Index - 82

eISSN - 1751-8792

pISSN - 1751-8784

DOI - 10.1049/iet-rsn.2015.0049

Subject(s) - doppler effect , radar , remote sensing , doppler radar , secondary surveillance radar , computer science , geography , telecommunications , physics , astronomy

An approach is examined for reducing false alarms during detection of human targets via radar surveillance from moving platforms. The ability to distinguish between human target and clutter discrete micro‐Doppler signatures is quantified using simulated and real data collected using the DORC X‐band wideband experimental airborne radar. Signal processing methodologies to extract key target signature characteristics are discussed along with separability of target classes and classifier performance.

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