Cargando…
Small Foreign Object Debris Detection for Millimeter-Wave Radar Based on Power Spectrum Features
Foreign object debris (FOD) detection can be considered a kind of classification that distinguishes the measured signal as either containing FOD targets or only corresponding to ground clutter. In this paper, we propose a support vector domain description (SVDD) classifier with the particle swarm op...
Autores principales: | Ni, Peishuang, Miao, Chen, Tang, Hui, Jiang, Mengjie, Wu, Wen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219243/ https://www.ncbi.nlm.nih.gov/pubmed/32325656 http://dx.doi.org/10.3390/s20082316 |
Ejemplares similares
-
Foreign Object Debris Automatic Target Detection for Millimeter-Wave Surveillance Radar
por: Qin, Fei, et al.
Publicado: (2021) -
Millimeter-wave radar object classification using knowledge-assisted neural network
por: Wang, Yanhua, et al.
Publicado: (2022) -
The Millimeter-Wave Radar SLAM Assisted by the RCS Feature of the Target and IMU
por: Li, Yang, et al.
Publicado: (2020) -
Millimeter wave radar data of people walking
por: Gambi, Ennio, et al.
Publicado: (2020) -
Machine Learning Based Object Classification and Identification Scheme Using an Embedded Millimeter-Wave Radar Sensor
por: Arab, Homa, et al.
Publicado: (2021)