Millimeter-Wave Bat for Mapping and Quantifying Micromotions in Full Field of View

Yuyong Xiong; Songxu Li; Changzhan Gu; Guang Meng; Zhike Peng

doi:10.34133/2021/9787484

Millimeter-Wave Bat for Mapping and Quantifying Micromotions in Full Field of View

Research (Wash D C). 2021 Aug 16:2021:9787484. doi: 10.34133/2021/9787484. eCollection 2021.

Authors

Yuyong Xiong¹, Songxu Li¹, Changzhan Gu², Guang Meng¹, Zhike Peng¹

Affiliations

¹ State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
² MoE Key Lab of Design and Electromagnetic Compatibility of High Speed Electronic System, and MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai 200240, China.

Abstract

Echolocating bats possess remarkable capability of multitarget spatial localization and micromotion sensing in a full field of view (FFOV) even in cluttered environments. Artificial technologies with such capability are highly desirable for various fields. However, current techniques such as visual sensing and laser scanning suffer from numerous fundamental problems. Here, we develop a bioinspired concept of millimeter-wave (mmWave) full-field micromotion sensing, creating a unique mmWave Bat ("mmWBat"), which can map and quantify tiny motions spanning macroscopic to μm length scales of full-field targets simultaneously and accurately. In mmWBat, we show that the micromotions can be measured via the interferometric phase evolution tracking from range-angle joint dimension, integrating with full-field localization and tricky clutter elimination. With our approach, we demonstrate the capacity to solve challenges in three disparate applications: multiperson vital sign monitoring, full-field mechanical vibration measurement, and multiple sound source localization and reconstruction (radiofrequency microphone). Our work could potentially revolutionize full-field micromotion monitoring in a wide spectrum of applications, while may inspiring novel biomimetic wireless sensing systems.