Weak signal extraction in non-stationary channel with weak measurement

Abstract An emerging challenge of integrated communication and sensing is the extraction of weak sensing signals transmitted through an unknown non-stationary channel. In this work, we propose a weak signal extraction method with weak measurement. Taking advantage of time division multiplexing, we p...

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Main Authors: Qi Song, Hongjing Li, Jingzheng Huang, Peng Huang, Xiaorui Tan, Yu Tao, Chunhui Shi, Guihua Zeng
Format: Article
Language:English
Published: Nature Portfolio 2023-12-01
Series:Communications Physics
Online Access:https://doi.org/10.1038/s42005-023-01492-7
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author Qi Song
Hongjing Li
Jingzheng Huang
Peng Huang
Xiaorui Tan
Yu Tao
Chunhui Shi
Guihua Zeng
author_facet Qi Song
Hongjing Li
Jingzheng Huang
Peng Huang
Xiaorui Tan
Yu Tao
Chunhui Shi
Guihua Zeng
author_sort Qi Song
collection DOAJ
description Abstract An emerging challenge of integrated communication and sensing is the extraction of weak sensing signals transmitted through an unknown non-stationary channel. In this work, we propose a weak signal extraction method with weak measurement. Taking advantage of time division multiplexing, we preliminarily estimate the channel via adjustable finite impulse response filter, further suppressing the interfering signal caused by background noises via spectrum shift. By subsequently using the time-varying phase estimation method via weak measurement, the real-time detection of weak signals in the non-stationary channel is achieved. We demonstrate via theoretical analysis and confirmatory experiment that our method is able to amplify the phase shift, to suppress technical noise and to improve detection resolution limit, while proving robust against light source fluctuations, initial phase differences and detector saturation. The method hence enables weak sensing signal extraction with a low signal-to-noise ratio non-stationary channel. Furthermore, we interface our measurement method to squeezed light sources, offering the possibility of surpassing standard quantum limit.
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spelling doaj.art-3946266bd10c476e83590e1e9c1863e92023-12-24T12:21:14ZengNature PortfolioCommunications Physics2399-36502023-12-01611910.1038/s42005-023-01492-7Weak signal extraction in non-stationary channel with weak measurementQi Song0Hongjing Li1Jingzheng Huang2Peng Huang3Xiaorui Tan4Yu Tao5Chunhui Shi6Guihua Zeng7State Key Laboratory of Advanced Optical Communication Systems and Networks, Institute for Quantum Sensing and Information Processing, School of Sensing Science and Engineering, Shanghai Jiao Tong UniversityState Key Laboratory of Advanced Optical Communication Systems and Networks, Institute for Quantum Sensing and Information Processing, School of Sensing Science and Engineering, Shanghai Jiao Tong UniversityState Key Laboratory of Advanced Optical Communication Systems and Networks, Institute for Quantum Sensing and Information Processing, School of Sensing Science and Engineering, Shanghai Jiao Tong UniversityState Key Laboratory of Advanced Optical Communication Systems and Networks, Institute for Quantum Sensing and Information Processing, School of Sensing Science and Engineering, Shanghai Jiao Tong UniversityState Key Laboratory of Advanced Optical Communication Systems and Networks, Institute for Quantum Sensing and Information Processing, School of Sensing Science and Engineering, Shanghai Jiao Tong UniversityState Key Laboratory of Advanced Optical Communication Systems and Networks, Institute for Quantum Sensing and Information Processing, School of Sensing Science and Engineering, Shanghai Jiao Tong UniversityState Key Laboratory of Advanced Optical Communication Systems and Networks, Institute for Quantum Sensing and Information Processing, School of Sensing Science and Engineering, Shanghai Jiao Tong UniversityState Key Laboratory of Advanced Optical Communication Systems and Networks, Institute for Quantum Sensing and Information Processing, School of Sensing Science and Engineering, Shanghai Jiao Tong UniversityAbstract An emerging challenge of integrated communication and sensing is the extraction of weak sensing signals transmitted through an unknown non-stationary channel. In this work, we propose a weak signal extraction method with weak measurement. Taking advantage of time division multiplexing, we preliminarily estimate the channel via adjustable finite impulse response filter, further suppressing the interfering signal caused by background noises via spectrum shift. By subsequently using the time-varying phase estimation method via weak measurement, the real-time detection of weak signals in the non-stationary channel is achieved. We demonstrate via theoretical analysis and confirmatory experiment that our method is able to amplify the phase shift, to suppress technical noise and to improve detection resolution limit, while proving robust against light source fluctuations, initial phase differences and detector saturation. The method hence enables weak sensing signal extraction with a low signal-to-noise ratio non-stationary channel. Furthermore, we interface our measurement method to squeezed light sources, offering the possibility of surpassing standard quantum limit.https://doi.org/10.1038/s42005-023-01492-7
spellingShingle Qi Song
Hongjing Li
Jingzheng Huang
Peng Huang
Xiaorui Tan
Yu Tao
Chunhui Shi
Guihua Zeng
Weak signal extraction in non-stationary channel with weak measurement
Communications Physics
title Weak signal extraction in non-stationary channel with weak measurement
title_full Weak signal extraction in non-stationary channel with weak measurement
title_fullStr Weak signal extraction in non-stationary channel with weak measurement
title_full_unstemmed Weak signal extraction in non-stationary channel with weak measurement
title_short Weak signal extraction in non-stationary channel with weak measurement
title_sort weak signal extraction in non stationary channel with weak measurement
url https://doi.org/10.1038/s42005-023-01492-7
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