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摘要
This paper presents a pressure sensing system using fiber-optic sensors for multiple human localizations. The conventional fiber sensor uses complicated hardware such as optical time-domain reflectometer (OTDR) for pressure localization, while this paper aims to develop a smart floor with much simpler hardware for human localization based on binary compressive sensing and low-density parity-check (LDPC) coding. The proposed pressure sensing system includes LED emitters, plastic optical fibers, and photodetectors, as well as wireless motes. The observation space (or floor) is encoded into a set of binary codes, and multidimensional binary data are generated when targets walk on the floor. A set of Bayesian decoding algorithms are developed for the target localization using those binary data, given two types of logic operations (OR and XOR), respectively. The experimental results demonstrate the multiple human location information acquisition capability of the proposed space encoding/decoding scheme with high data efficiency and energy efficiency.
