• Micro vibration reconstruction...

Result: Micro vibration reconstruction under in-range large-scale dynamic clutters using a Bi-Exponential radar signal model

Title:
Micro vibration reconstruction under in-range large-scale dynamic clutters using a Bi-Exponential radar signal model
Authors:
Ma, Xujun, Wang, Pei, Liu, Jie, Zhang, Daqing
Contributors:
Institut Polytechnique de Paris (IP Paris), Département Réseaux et Services Multimédia Mobiles (TSP - RS2M), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Institut Mines-Télécom [Paris] (IMT)-Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris), Network Systems and Services (NeSS-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Nanjing Forestry University (NFU), Peking University [Beijing]
Source:
2024 IEEE/MTT-S International Microwave Symposium ( IMS). :386-389
Publisher Information:
CCSD; IEEE, 2024.
Publication Year:
2024
Collection:
collection:TELECOM-SUDPARIS
collection:IP_PARIS
collection:INSTITUTS-TELECOM
collection:INSTITUT-MINES-TELECOM
collection:DEPARTEMENT-DE-MATHEMATIQUES
collection:IP-PARIS-MATHEMATIQUES
collection:IP-PARIS-INFORMATION-COMMUNICATION-ELECTRONIQUE
collection:IP-PARIS-INFORMATIQUE-DONNEES-ET-IA
collection:SAMOVAR
Subject Terms:
Microwave oscillators, Vectors, Microwave theory and techniques, Reconstruction algorithms, Estimation, Radar clutter, Vibrations, [SPI.SIGNAL]Engineering Sciences [physics], Signal and Image processing
Subject Geographic:
Washington, France
Original Identifier:
HAL: hal-04783945
Document Type:
Conference conferenceObject<br />Conference papers
Language:
English
ISBN:
979-83-503-7504-6
978-2-02-406161-8
2-02-406161-3
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1109/IMS40175.2024.10600273
DOI:
10.1109/IMS40175.2024.10600273
Access URL:
https://hal.science/hal-04783945
https://hal.science/hal-04783945v1/document
https://hal.science/hal-04783945v1/file/2024061613.pdf
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.04783945v1
Database:
HAL

Further Information

In this paper, a novel micro vibration reconstruction method is proposed to mitigate the influence of in-range large-scale dynamic clutters for radar sensing. In order to understand the impact of dynamic clutters on the target signal, a bi-exponential radar signal model is introduced to explicitly characterize the superposition mechanism between the target and clutter vector signals. Theoretical analysis shows that strong dynamic clutters would overwhelm the target signal and further distort the sensing result when using conventional demodulation methods. To solve this problem, a vector separation technique is proposed via accurate estimation of both vector signals and proper phase unfolding. Leveraging an Impulse-Radio Ultra-Wideband (IR-UWB) radar, experiment results show that the proposed technique could effectively recover the micro mechanical vibration in the presence of a strong in-range dynamic clutter.