Radar measurement of human polarimetric micro-doppler

Authors:
David Tahmoush;Jerry Silvious
Affiliations:
U.S. Army Research Lab, Adelphi, MD;U.S. Army Research Lab, Adelphi, MD
Venue:
Journal of Electrical and Computer Engineering - Special issue on Advances in Radar Technologies
Year:
2013

Citing 2
Cited 0

Discrete-time signal processing

Discrete-time signal processing
Target Classification and Pattern Recognition Using Micro-Doppler Radar Signatures

SNPD-SAWN '06 Proceedings of the Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing

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Abstract

We use polarimetric micro-Doppler for the detection of arm motion, especially for the classification of whether someone has their arms swinging and is thus unloaded. The arm is often bent at the elbow, providing a surface somewhat similar to a dihedral. This is distinct from the more planar surfaces of the body which allows us to isolate the signals of the arm (and knee). The dihedral produces a double bounce that can be seen in polarimetric radar data bymeasuring the phase difference between HH and VV. This measurement can then be used to determine whether the subject is unloaded.