Simultaneous Localization and Recognition of Subwavelength Non-Cooperative Entities Based on SISO Time Reversal and Neural Networks
arxiv(2024)
摘要
The simultaneous localization and recognition of subwavelength
non-cooperative entities within complex multi-scattering environments using a
simplified system continues to pose a substantial challenge. This communication
addresses this challenge by synergistically integrating time reversal
time-frequency phase prints (TRTFPPs) and neural networks. Initially, a time
reversal (TR) single-input single-output (SISO) framework is employed to
generate TRTFPPs. Through the devised approach, two types of subwavelength
entities are successfully identified and precisely localized through numerical
simulations. Then, the method is verified experimentally in laboratory
environment. The proposed methodology holds applicability across various
electromagnetic systems, including but not limited to detection, imaging,
human-computer interaction, and the Internet of Things (IoT).
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