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Simultaneous Localization and Identification With Single-Source Resonant Beam
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AI
DOI：10.1109/TWC.2024.3414436.png)
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Abstract
En 中文
Coupled with identification, 3D positioning can significantly enrich location-based services. Resonant beam (RB) is emerging as a promising solution to indoor positioning due to its self-aligning and energy-focused transmission. We propose a system for simultaneous localization and identification using RB as the individual medium. The base station (BS) employs a single-source RB, and each mobile target (MT) is equipped with a signal reflection module. For 3D localization, the BS estimates direction by analyzing RB's spatial distribution and determines the distance from its frequency components. For identification, the passive MT captures the RB for power and reflects its identity (ID) to BS as spot flicker signals. To demonstrate the working principles, we have developed models for location estimation and ID recognition, as well as the power flow within the RB channel. In implementation, we incorporate a threshold regulation scheme for accurate image signal retrieval, along with an input power distribution model tailored for multi-access scenarios. Through simulating the entire process, we verify the system's feasibility, including confirming the viability of ID recognition. We also evaluate localization performance, averaging similar to 1 cm at heights of 1.5 m similar to 2.5 m, showing promise for a wide range of potential applications.
Keywords:
Indoor positioning
identification
resonant beam
single-source positioning
Journal
IF:
10.7
Papers:
1.3W
Citations:
5.3W
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