Abstract
The world is entering a new era with ubiquitous connectivity among billions of humans and machines, i.e., the sixth-generation (6G) massive Internet of Things (IoT). Radar and communication need to be integrated into this system to achieve target detection and massive connectivity. In this work, we first develop a shape-adaptive antenna array composed of multiple subarrays spaced at regular intervals. The shape-adaptive antenna array uses flexible material that enables changes in the physical structure to achieve adaptive gain. Subsequently, we investigate the micromovement of IoT targets, such as the micro-motion characteristics and micro-Doppler effects of rotary-wing drones. The simulation results demonstrate the effectiveness and efficiency of the proposed schemes for detecting unmanned aerial vehicles (UAVs) in an IoT scenario.
| Original language | English |
|---|---|
| Pages (from-to) | 14511-14520 |
| Number of pages | 10 |
| Journal | IEEE Internet of Things Journal |
| Volume | 9 |
| Issue number | 16 |
| DOIs | |
| State | Published - 15 Aug 2022 |
Keywords
- Radar-communication integration
- shape-adaptive antenna array
- sixth-generation (6G) massive IoT
- terahertz (THz)
- unmanned aerial vehicle (UAV)
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