Results 151 to 160 of about 1,732 (187)

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

Investigating Radar Micro-Doppler Signatures for Drone Payload Detection

2025 25th International Conference on Digital Signal Processing (DSP)
25th International Conference on Digital Signal Processing (DSP 2025), June 25-27, 2025, Pylos (Messinia, Southwest Peloponnese ...
Pant, Shashank, Manning, Max, Laliberte, Jeremy, Sevigny, Pascale, Rajan, Sreeraman, Balaji, Bhashyam   +5 more
openaire   +2 more sources

Sonar Micro-Doppler Signatures: Principles and Applications

2014
In this chapter we introduce the theory behind sonar micro-Doppler signatures and highlight advantages and disadvantages with respect to their radar counterpart. We present the results of two experimental trials carried out at (1) the U.S. Army Research Laboratory and (2) University College London in which sonar micro-Doppler signatures of personnel ...
Alessio Balleri, Asif Mehmood
openaire   +1 more source

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

Micro-Doppler signatures for sensing micro-motion

2019
The micro-Doppler signature is a distinctive characteristic of micro-motion represented by intricate time-varying Doppler frequency modulations. It can be used to extract motion kinematic features for identifying an object of interest. In this Chapter, we introduce the micro-Doppler signature in radar and its applications for sensing micro-motion.
Victor C. Chen, William J. Miceli
openaire   +1 more source