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Acoustic Micro-Doppler Gait Signatures of Humans and Animals

2007 41st Annual Conference on Information Sciences and Systems, 2007
A micro-Doppler active acoustic sensing system is described. We report its use in acquiring gait signatures of humans and four-legged animals in indoor and outdoor environments. Signals from an accelerometer attached to the leg support the interpretation of the components in the measured micro-Doppler signature.
Zhaonian Zhang   +3 more
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

Simulation of human micro-Doppler signatures with Kinect sensor

2014 IEEE Radar Conference, 2014
The availability and access to real radar data collected for targets with a desired characteristic is often limited by monetary and practical resources, especially in the case of airborne radar. In such cases, the generation of accurate simulated radar data is critical to the successful design and testing of radar signal processing algorithms.
Karabacak, Cesur   +3 more
openaire   +2 more sources

Simulation of Micro-Doppler Signatures of Drones

2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 2023
Megha Kataria, Brejesh Lall
openaire   +2 more sources

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

Multistatic Micro-Doppler Signature Processing

2014
In this chapter the generation and exploitation of multistatic micro-Doppler radar target signatures are examined with the ultimate aim of improving the classification of targets.
Graeme E. Smith, Christopher J. Baker
openaire   +1 more source

Empirical mode decomposition of micro-doppler signature

IEEE International Radar Conference, 2005., 2005
Micro-Doppler induced by mechanical vibration or rotation of structures in a radar target is potentially useful for target detection, classification and recognition. In order to exploit the time-varying micro-Doppler signature, time frequency analysis techniques are used. However, they can not represent this useful information clearly all the time.
null Chengjie Cai   +3 more
openaire   +1 more source

Micro-Doppler Signature Extraction with Multibeam Radar

2019 International Radar Conference (RADAR), 2019
Orthogonal and quasi-orthogonal waveforms are used in a multibeam radar (MBR) to isolate different channels and reduce cross-channel interference. Each channel provides an independent radar beam that performs a specific functionality without interfering with adjacent channels.
Leon Kocjancic   +2 more
openaire   +1 more source

Human Action Categorization Using Ultrasound Micro-Doppler Signatures

2011
The spectrotemporal representation of an ultrasonar wave reflected by an object contains frequency shifts corresponding to the velocity of the object's moving parts, also known as the micro-Doppler signature. The present study describes how the micro-Doppler signature of human subjects, collected in two experiments, can be used to categorize the action
Dura-Bernal, S.   +13 more
openaire   +2 more sources

Phenomenology of Radar Micro-Doppler Signatures

2014
In this chapter, we introduce mathematics of the micro-Doppler effect in radar, derive basic formulas of micro-Doppler shifts due to vibration, rotation, tumbling and conning, and extract micro-Doppler signatures using time-frequency analysis.
openaire   +1 more source

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