Results 71 to 80 of about 18,380 (225)

Classification of Personnel Targets with Baggage Using Dual-band Radar

Remote Sensing, 2017
In this paper, we aim to identify passengers with different baggage by analyzing the micro-Doppler radar signatures corresponding to different kinds of gaits, which is helpful to improve the efficiency of security check in airports. After performing time-
Le Yang, Gao Chen, Gang Li
doaj   +1 more source

A RPCA-Based ISAR Imaging Method for Micromotion Targets

Sensors, 2020
Micro-Doppler generated by the micromotion of a target contaminates the inverse synthetic aperture radar (ISAR) image heavily. To acquire a clear ISAR image, removing the Micro-Doppler is an indispensable task.
Liangyou Lu, Peng Chen, Lenan Wu
doaj   +1 more source

Comparative Analysis of Audio Processing Techniques on Doppler Radar Signature of Human Walking Motion Using CNN Models

Sensors, 2023
Artificial intelligence (AI) radar technology offers several advantages over other technologies, including low cost, privacy assurance, high accuracy, and environmental resilience.
Minh-Khue Ha, Thien-Luan Phan, Duc Hoang Ha Nguyen, Nguyen Hoang Quan, Ngoc-Quan Ha-Phan, Congo Tak Shing Ching, Nguyen Van Hieu   +6 more
doaj   +1 more source

Fourier independent component analysis of radar micro-Doppler features [PDF]

, 2017
The capability of discriminating radar targets exhibiting multiple moving parts has become of great interest for both aerospace and ground-based target recognition and analysis.
Addabbo, P., Clemente, C., Ullo, S. L.
core   +1 more source

Radar micro-Doppler for loudspeaker analysis: an industrial process application [PDF]

International Conference on Radar Systems (Radar 2017), 2017
In the last decades a strong interest has developed on radar micro-Doppler analysis targeting applications in a number of sectors including defence, bio-medical and automotive. This paper investigates for the first time the use of radar micro- Doppler for loudspeaker analysis.
Izzo, A., Ausiello, L., Clemente, C., Soraghan, J.J.   +3 more
openaire   +1 more source

Enhancing Microrobot Swarm Stability and Adaptation by Autonomous Field‐of‐View Planning

Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.
This work presents an adaptive cross‐field‐of‐view navigation strategy for microrobot swarms in large‐scale workspaces by integrating global path planning via A* and local replanning using optimized informed rapidly‐exploring random tree star . The hybrid approach ensures efficient and robust trajectory execution in dynamic environments, enhancing the ...
Zhaowen Su, Lijun Fang, Hoyeon Kim, U. Kei Cheang   +3 more
wiley   +1 more source

Micro-Doppler Signature Analysis for Space Domain Awareness Using VHF Radar

Remote Sensing
The large quantity of resident space objects orbiting Earth poses a threat to safety and efficient operations in space. Radar sensors are well suited to detecting objects in space including decommissioned satellites and debris, whereas the more commonly ...
Emma Heading, Si Tran Nguyen, David Holdsworth, Iain M. Reid   +3 more
doaj   +1 more source

Empirical Analysis of Chirp and Multitones Performances with a UWB Software Defined Radar: Range, Distance and Doppler [PDF]

, 2014
In this study, a protocol for an unbiased analysis of radar signals' performance. Using a novel UWB software-defined radar, range profile, Doppler profile and detection range are evaluated for both Linear Frequency Modulated pulse and Multitones.
Gray, Derek, Le Kernec, Julien, Romain, Olivier   +2 more
core   +1 more source

Radar micro-Doppler feature extraction using the spectrogram and the cepstrogram [PDF]

2014 11th European Radar Conference, 2014
The radar micro-Doppler signature of a target is determined by parts of the target moving or rotating in addition to the main body motion. The relative motion of parts is characteristic for different classes of targets, e.g. the flapping motion of a bird's wings vs. the spinning of propeller blades.
Harmanny, R.I.A., Wit, J.J.M. de, Prémel Cabic, G.   +2 more
openaire   +2 more sources

Semisupervised Human Activity Recognition With Radar Micro-Doppler Signatures

IEEE Transactions on Geoscience and Remote Sensing, 2022
Human activity recognition (HAR) plays a vital role in many applications, such as surveillance, in-home monitoring, and health care. Portable radar sensor has been increasingly used in HAR systems in combination with deep learning (DL). However, it is both difficult and time-consuming to obtain a large-scale radar dataset with reliable labels ...
Xinyu Li 0007, Yuan He 0009, Francesco Fioranelli, Xiaojun Jing   +3 more
openaire   +4 more sources