Abstract
The identification and classification of human motions has become a popular area of research due to its broad range of applications. Knowledge of a person's movements can be a useful tool in surveillance, security, military combat, search and rescue operations, and the medical fields. Classification of common stationary human movements has been performed under various scenarios for two different micro-Doppler radar systems: S-band radar and millimeter-wave (mm-wave) radar. Each radar system has been designed for a specific scenario. The S-band radar is intended for through-the-wall situations at close distances, whereas the mm-wave radar is designed for long distance applications and also for through light foliage. Here, the performance of these radars for different training scenarios is investigated. The S-band radar will be analyzed for classification without a wall barrier, through a brick wall, and also through a cinder block wall. The effect of a wall barrier on micro-Doppler signatures will be briefly discussed. The mm-wave radar will be analyzed for classification at distances of 30, 60, and 91 meters.
Original language | English (US) |
---|---|
Title of host publication | Active and Passive Signatures IV |
Volume | 8734 |
DOIs | |
State | Published - 2013 |
Event | Active and Passive Signatures IV - Baltimore, MD, United States Duration: May 1 2013 → May 2 2013 |
Other
Other | Active and Passive Signatures IV |
---|---|
Country | United States |
City | Baltimore, MD |
Period | 5/1/13 → 5/2/13 |
All Science Journal Classification (ASJC) codes
- Applied Mathematics
- Computer Science Applications
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics