Absolute Distance Measurement Based on Self-Mixing Interferometry Using Compressed Sensing
Source abstract
Abstract
An absolute distance measurement sensor based on self-mixing interferometry (SMI) is suitable for application in aerospace due to its small size and light weight. However, an SMI signal with a high sampling rate places a burden on sampling devices and other onboard sources. SMI distance measurement using compressed sensing (CS) is proposed in this work to relieve this burden. The SMI signal was sampled via a measurement matrix at a sampling rate lower than Nyquist’s law and then recovered by the greedy pursuit algorithm. The recovery algorithm was improved to increase its robustness and iteration speed. On a distance measuring system with a measurement error of 60 µm, the difference between raw data with 1800 points and CS recovered data with 300 points was within 0.15 µm, demonstrating the feasibility of SMI distance measurement using CS.
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Research context
OpenAlex topics: Semiconductor Lasers and Optical Devices · Photonic and Optical Devices · Analytical Chemistry and Sensors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Innovation Academy for Microsatellites of CAS, Shanghai 201204, China
Shanghai Engineering Center for Microsatellites, Shanghai 201204, China
University of Chinese Academy of Sciences, Beijing 100049, China
China Telecom Research Institute, Shanghai 200122, China
Hefei National Laboratory, Hefei 230088, China
Funding
Strategic Priority Research Program of Chinese Academy of Sciences · Shanghai Municipal Science and Technology Major Project · Science and Technology Innovation 2030—Quantum Communication and Quantum Computer
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