Localizing and identifying multiple sound sources typically requires numerous sensors and complex control hardware. Compressive sensing imaging can reduce the number of sensors to a single pixel, forming a zero-dimensional compressive sensing imaging system. However, due to its relatively low resolution and rough orientation judgment, rather than simultaneously azimuth-distance location, the zero-dimensional system cannot satisfy the requirements of complex high-dimensional detection in engineering. To this end, inspired by the binaural hearing function of animals, we construct an anisotropic Tai Chi metamaterial that can accurately determine the direction and distance of sound sources, and develop compressive sensing imaging from a zero-dimensional to a low-dimensional system with double-pixel. This Tai Chi metamaterial with joint compressive sensing belongs to a very different scheme from current sonar detection, which greatly improves azimuth resolution and multi-source identification capabilities. The proposed strategy upgrades the compressive sensing imaging and provides a technical approach for low-cost sonar systems.

中文翻译：

---

一种用于低维关节压缩传感和同步方位距离定位的太极声学超材料


定位和识别多个声源通常需要大量的传感器和复杂的控制硬件。压缩传感成像可以将传感器的数量减少到单个像素，形成零维压缩传感成像系统。然而，由于其分辨率相对较低且方向判断粗糙，而不是同时进行方位距离定位，零维系统无法满足工程中复杂的高维探测要求。为此，我们受到动物双耳听觉功能的启发，构建了一种能够准确确定声源方向和距离的各向异性太极超材料，并发展出从零维到低维双像素系统的压缩感知成像。这种具有联合压缩传感的太极超材料属于与当前声呐探测截然不同的方案，它大大提高了方位角分辨率和多源识别能力。所提出的策略升级了压缩传感成像，并为低成本声纳系统提供了一种技术途径。