Abstract
The Ultra WideBand(UWB) Radar is a promising candidate for detecting human bodies in many fields such as urban-warfare, counter-terrorism and calamity rescue scenarios. Conventional UWB imaging algorithm can not meet the demand in the capability of targets recognition and calculation efficiency. This paper proposed a novel algorithm based on high-speed SEABED algorithm for UWB radar systems in which walking motion was used to replace antenna scanning by assuming a system model. The effectiveness and feasibility of the algorithm is demonstrated via simulated and experimental results. It is shown that the proposed algorithm features simple hardware requirement, low calculation, and high imaging precision, and it can be used to estimate the velocity, image and track walking human bodies.
| Original language | English |
|---|---|
| Pages (from-to) | 531-537 |
| Number of pages | 7 |
| Journal | Tien Tzu Hsueh Pao/Acta Electronica Sinica |
| Volume | 39 |
| Issue number | 3 |
| State | Published - Mar 2011 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- Boundary scattering transform (BST)
- Moving targets tracking
- SEABED algorithm
- Target shape imaging
- Ultra wideband (UWB) radar
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