Gaoxuan Wang
Gaoxuan Wang
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Gaoxuan Wang has a total of 17 co-authors. Here are the top co-authors by number of shared publications:
- Eric Fertein
Lab. de Physicochimie de l’Atmosphère, Univ. du Littoral Côte d’Opale (France)
3 shared publications Hongming Yi
2 shared publications- Rabih Maamary
Lab. de Physicochimie de l’Atmosphère, Univ. du Littoral Côte d’Opale (France)
2 shared publications Weidong Chen
2 shared publicationsAlexandre Deguine
Lab. de Physicochimie des Processus de Combustion et de l’Atmosphère Univ. de Lille (France)
1 shared publicationDenis Petitprez
Lab. de Physicochimie des Processus de Combustion et de l’Atmosphère Univ. de Lille (France)
1 shared publication
Latest Publications
- Open Access
Circular Regression in a Dual-Phase Lock-In Amplifier for Coherent Detection of Weak Signal
Lock-in amplification (LIA) is an effective approach for recovery of weak signal buried in noise. Determination of the input signal amplitude in a classical dual-phase LIA is based on incoherent detection which leads to a biased estimation at low signal-to-noise ratio. This article presents, for the first time to our knowledge, a new architecture of LIA involving phase estimation with a linear-circular regression for coherent detection. The proposed phase delay estimate, between the input signal and a reference, is defined as the maximum-likelihood of a set of observations distributed according to a von Mises distribution. In our implementation this maximum is obtained with a Newton Raphson algorithm. We show that the proposed LIA architecture provides an unbiased estimate of the input signal amplitude. Theoretical simulations with synthetic data demonstrate that the classical LIA estimates are biased for SNR of the input signal lower than −20 dB, while the proposed LIA is able to accurately recover the weak signal amplitude. The novel approach is applied to an optical sensor for accurate measurement of NO concentrations at the sub-ppbv level in the atmosphere. Side-by-side intercomparison measurements with a commercial LIA (SR830, Stanford Research Inc., Sunnyvale, CA, USA ) demonstrate that the proposed LIA has an identical performance in terms of measurement accuracy and precision but with simplified hardware architecture.Open AccessCircular Regression in a Dual-Phase Lock-In Amplifier for Coherent Detection of Weak Signal
Lock-in amplification (LIA) is an effective approach for recovery of weak signal buried in noise. Determination of the input signal amplitude in a classical dual-phase LIA is based on incoherent detection which leads to a biased estimation at low signal-to-noise ratio. This article presents, for the first time to our knowledge, a new architecture of LIA involving phase estimation with a linear-circular regression for coherent detection. The proposed phase delay estimate, between the input signal and a reference, is defined as the maximum-likelihood of a set of observations distributed according to a von Mises distribution. In our implementation this maximum is obtained with a Newton Raphson algorithm. We show that the proposed LIA architecture provides an unbiased estimate of the input signal amplitude. Theoretical simulations with synthetic data demonstrate that the classical LIA estimates are biased for SNR of the input signal lower than −20 dB, while the proposed LIA is able to accurately recover the weak signal amplitude. The novel approach is applied to an optical sensor for accurate measurement of NO concentrations at the sub-ppbv level in the atmosphere. Side-by-side intercomparison measurements with a commercial LIA (SR830, Stanford Research Inc., Sunnyvale, CA, USA ) demonstrate that the proposed LIA has an identical performance in terms of measurement accuracy and precision but with simplified hardware architecture. - 12 June 2017
- Published by SPIE-Intl Soc Optical Eng in SPIE Newsroom
Monitoring short-lived climate pollutants by laser absorption spectroscopy
- 12 June 2017
- Published by SPIE-Intl Soc Optical Eng in SPIE Newsroom
Monitoring short-lived climate pollutants by laser absorption spectroscopy
- 27 January 2017
- Published by SPIE-Intl Soc Optical Eng
- p. 1011136-1011136-7
Filter-free measurements of black carbon absorption using photoacoustic spectroscopy
- 27 January 2017
- Published by SPIE-Intl Soc Optical Eng
- p. 1011136-1011136-7
Filter-free measurements of black carbon absorption using photoacoustic spectroscopy