Integrated Modeling and Target Classification Based on mmWave SAR and CNN Approach
This study presents a numerical modeling approach that utilizes millimeter-wave (mm-Wave) Frequency-Modulated Continuous-Wave (FMCW) radar to reconstruct and classify five weapon types: grenades, knives, guns, iron rods, and wrenches. A dataset of 1000 images of these weapons was collected from vari...
Saved in:
Main Authors: | Chandra Wadde, Gayatri Routhu, Mark Clemente-Arenas, Surya Prakash Gummadi, Rupesh Kumar |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/24/24/7934 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dynamic Targets Occupancy Status Detection Utilizing mmWave Radar Sensor and Ensemble Machine Learning
by: Amala Sonny, et al.
Published: (2024-01-01) -
Multichannel Enhanced Millimeter-Wave SAR Imaging via Low-Rank Tensor-Train Decomposition
by: Bangjie Zhang, et al.
Published: (2025-01-01) -
Guest Editorial: Synthetic aperture in sonar and radar
by: Marco Martorella, et al.
Published: (2024-11-01) -
Orthogonal beam codebook based hybrid precoding algorithm for mmWave MIMO system
by: Weiting ZHAO, et al.
Published: (2017-07-01) -
Low complexity hybrid precoding method in mmWave massive MIMO system
by: Jianwei XIANG, et al.
Published: (2016-09-01)