Results 141 to 150 of about 1,720 (182)

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, Gürbüz, Ali Cafer, Gürbüz, Sevgi Zübeyde, Erol, Barış   +3 more
openaire   +2 more sources

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, Ram M. Narayanan, Eric R. Beckel, Wai K. Luk, Gerard A. Gaeta   +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, M. Dakovic, T. Thayaparan, V. Popovic-Bugarin   +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, Alessio Balleri, Thomas Merlet   +2 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

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, Zhaoning Gu, Guan Wang, Kar-Ann Toh, Zhiping Lin   +4 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., Garreau, G., Andreou, C., Andreou, A., Georgiou, J., Wennekers, T., Denham, S., Dura-Bernal, S., Garreau, G., Andreou, C., Andreou, A., Georgiou, J., Wennekers, T., Denham, S.   +13 more
openaire   +2 more sources

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, null Weixian Liu, J.S. Fu, null Lilong Lu   +3 more
openaire   +1 more source

Target classification based on micro-doppler signatures

IEEE International Radar Conference, 2005., 2005
In this paper, we propose a Gabor filtering method to extract localized micro-Doppler signatures represented in the time-frequency domain. The dimensionality of the extracted Gabor features is further reduced by using the principal component analysis (PCA) method.
null Jiajin Lei, null Chao Lu
openaire   +1 more source

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   +1 more source