Millimeter-wave imaging is widely used in areas like airport security, surveillance, and detecting objects through fog, smoke, or clothing. However, current systems are often expensive, bulky, and complicated. They require many antennas that must be carefully aligned and synchronized to work properly. This makes the systems difficult to build, maintain, and scale. In addition, these systems can be slow and require heavy data processing, which limits their ability to provide fast, real-time imaging. Because of these challenges, many existing solutions are not practical for widespread or portable use.
This technology introduces a novel approach using space-time chaotic antenna arrays, where antenna elements are intentionally randomized in both their spatial placement and signal excitation. This controlled randomness creates spatial and temporal incoherence, enabling accurate image reconstruction without requiring strict synchronization or dense array configurations. By leveraging this principle, the system can achieve high-resolution imaging with significantly fewer antennas, reducing hardware complexity and cost. Additionally, the approach enables faster data acquisition and real-time imaging capabilities while maintaining strong performance in challenging environments. Overall, this innovation transforms millimeter-wave imaging into a more efficient, scalable, and practical solution for real-world applications.