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Sense-through-wall human detection based on UWB radar sensors
- Source :
- Signal Processing. 126:117-124
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- In an emergency scenario, such as earthquake, victims can often be trapped in collapsed trenches or buildings. Search and rescue would be greatly simplified if first responders were equipped with a UltraWide Band (UWB) Radar sensor which has sense-through wall capability. Motivated by this challenge, we study sense-through-wall human detection based on UWB radar sensors. We observed that a Discrete Fourier Transform (DFT)-based approach could not work well in scenarios where signal attenuation is high, and the DFT-based approach has high computational load, which makes it difficult to be used in real-world. We propose a standard deviation (std)-based approach to sense-through wall and sense-through wooden door human detection, and make analysis on detection threshold selection. Our approach is very simple to be implemented, but it has high accuracy. It can achieve perfect detection (no detection error) with appropriate detection threshold. HighlightsWe study sense-through-wall human detection based on UWB radar sensors.We propose a standard deviation (std)-based approach to human detection.Our approach is very simple to be implemented, but it has high accuracy.It can achieve perfect detection (no detection error) with appropriate detection threshold.
- Subjects :
- Engineering
business.industry
Attenuation
ComputerApplications_COMPUTERSINOTHERSYSTEMS
020206 networking & telecommunications
02 engineering and technology
Sense (electronics)
Signal
Standard deviation
Discrete Fourier transform
law.invention
Radar engineering details
Control and Systems Engineering
law
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
020201 artificial intelligence & image processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Radar
business
Software
Search and rescue
Subjects
Details
- ISSN :
- 01651684
- Volume :
- 126
- Database :
- OpenAIRE
- Journal :
- Signal Processing
- Accession number :
- edsair.doi...........809f6006f25e0698aac78f9fb6c105b4