Abstract
This letter introduces a low-profile broadband folded transmitarray shared-aperture transceiver designed for frequencydiverse near-field sensing and real-time gesture recognition. The system uses a random encoded folded transmitarray and a dualpolarized feed to generate random transmit–receive fields through polarization control. The folded array operates from 31 GHz to 46 GHz (corresponding to 38% relative bandwidth) and includes a random-coded transmitarray surface and a polarization conversion reflectarray surface. The folded design integrates separate transmitter and receiver components into a shared-aperture transmitter yielding a compact 15.4λ × 15.4λ × 2.6λ system with a height-to-diameter ratio of 0.16. Experimental results demonstrate the effectiveness of the proposed compact system in a real-time classifying ten gestures with an accuracy of 99.6% using a convolutional neural network.
| Original language | English |
|---|---|
| Pages (from-to) | 428-432 |
| Number of pages | 5 |
| Journal | IEEE Antennas and Wireless Propagation Letters |
| Volume | 25 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2026 |
Keywords
- Convolutional neural network (CNN)
- folded transmitarray
- frequency diversity
- near-field sensing