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High range resolution micro-Doppler analysis

SPIE Proceedings, 2015
This paper addresses use of the micro-Doppler effect and the use of high range-resolution profiles to observe complex targets in complex target scenes. The combination of micro-Doppler and high range-resolution provides the ability to separate the motion of complex targets from one another.
Zachary A. Cammenga   +2 more
openaire   +1 more source

Gait Variations in Human Micro-Doppler

International Journal of Electronics and Telecommunications, 2011
Gait Variations in Human Micro-DopplerMeasurement of human gait variation is important for security applications such as the indication of unexpected loading due to concealed weapons. To observe humans safely, unobtrusively, and without privacy issues, radar provides one method to detect abnormal activity without using images. In this paper we focus on
Dave Tahmoush, Jerry Silvious
openaire   +1 more source

Micro-Doppler analysis of ballistic targets

2020
Nowadays the challenge of the identification of ballistic missile (BM) warheads in a cloud of decoys and debris is essential in order to optimise the use of counter-missile resources. This chapter is aimed at providing ballistic target (BTs) micro-motion models and examples of signal processing tools to handle this family of targets.
Adriano Rosario Persico   +2 more
openaire   +1 more source

Micro-Doppler Signatures of Small Boats

2014
In this chapter, the authors first use the small boats and sea clutter database collected by the Council for Scientific and Industrial Research (CSIR) of South Africa to demonstrate radar microDoppler signatures of small boats in sea clutter. Then, microDoppler images of small boats were compared in the littoral environment.
Victor C. Chen, David Tahmoush
openaire   +1 more source

Analytic radar micro-Doppler signatures classification

SPIE Proceedings, 2017
Due to its capability of capturing the kinematic properties of a target object, radar micro-Doppler signatures (m-DS) play an important role in radar target classification. This is particularly evident from the remarkable number of research papers published every year on m-DS for various applications.
Beom-Seok Oh   +4 more
openaire   +1 more source

Acoustic micro-Doppler radar for human gait imaging

The Journal of the Acoustical Society of America, 2007
A portable acoustic micro-Doppler radar system for the acquisition of human gait signatures in indoor and outdoor environments is reported. Signals from an accelerometer attached to the leg support the identification of the components in the measured micro-Doppler signature.
Zhaonian, Zhang   +3 more
openaire   +2 more sources

Feature selection for classification of human micro-Doppler

2013 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS 2013), 2013
Dozens of features have been proposed for the use in a variety of human micro-Doppler classification problems, such as activity classification, target identification, and arm swing detection. However, the issues of how many features are truly required, which features should be selected, and whether or how this selection will vary depending upon human ...
Tekeli, Bürkan   +3 more
openaire   +2 more sources

Micro-Doppler

2021
Christoph Neumann, Tobias Brosch
openaire   +1 more source

Through-the-Wall Micro-Doppler Signatures

2014
Radar technology has been utilized for through-the-wall operation in recent years. Through-the-wall radars have become an area of interest due to their usefulness in surveillance, search and rescue operations, and others. We address the specific challenges that through-the-wall radars endure, and present simulations and experimental data for through ...
Dustin P. Fairchild   +4 more
openaire   +1 more source

Signal Decomposition of Micro-Doppler Signatures

2014
The micro-Doppler effects detection, estimation, and removal are analyzed in this chapter. Since the most common form of the micro-Doppler signal is a sinusoidal modulated one, a simple technique for its analysis, based on the inverse Radon transform is presented. A method for period estimation is presented as well.
L. Stankovic   +3 more
openaire   +1 more source

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