Frequency-scanning nonlinearity suppression for FSI ranging based on a phenomenological modeling approach

Frequency-scanning nonlinearity fundamentally limits the ranging precision of frequency-scanning interferometry (FSI) systems based on external cavity diode lasers (ECDLs). To address this limitation, a frequency scanning nonlinearity suppression method based on a rate-dependent asymmetric Prandtl-Ishlinskii (RA-PI) model is proposed. By employing, for the first time, a phenomenological modeling approach, the rate-dependent and asymmetric nonlinear optical frequency response of the ECDL is accurately characterized. An inverse RA-PI model is derived and implemented as a feedforward compensator to linearize the frequency scanning. Experimental results show that the frequency-scanning linearity is improved by approximately one order of magnitude. Consequently, the maximum standard deviation of absolute distance measurements is reduced from 58.25 μm to 9.79 μm, and the maximum relative displacement deviation decreases from 42.97 μm to 11.56 μm. Furthermore, the velocity measurement precision for dynamic targets is improved by a factor of 2.61 to 5.75.

Authors

Institutions

Publication Details

Journal
Optics Express
Published
2026-04-03
DOI
https://doi.org/10.1364/oe.595572
Primary Topic
Advanced SAR Imaging Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Frequency-scanning nonlinearity suppression for FSI ranging based on a phenomenological modeling approach

Hengkang Zhang, Xiawei Meng, Zhang Shuwei, Wenjun Chen et al.
Optics Express
Advanced SAR Imaging Techniques
article

Frequency-scanning nonlinearity suppression for FSI ranging based on a phenomenological modeling approach

Hengkang Zhang, Xiawei Meng, Zhang Shuwei, Wenjun Chen, Zhongwen Deng, Gleb Vdovin, Chenxu Wang, Xin Yao, Hai Gong, Xiaoping Li, Lin Li, Li Wang, sun haifeng
article en

Abstract

Frequency-scanning nonlinearity fundamentally limits the ranging precision of frequency-scanning interferometry (FSI) systems based on external cavity diode lasers (ECDLs). To address this limitation, a frequency scanning nonlinearity suppression method based on a rate-dependent asymmetric Prandtl-Ishlinskii (RA-PI) model is proposed. By employing, for the first time, a phenomenological modeling approach, the rate-dependent and asymmetric nonlinear optical frequency response of the ECDL is accurately characterized. An inverse RA-PI model is derived and implemented as a feedforward compensator to linearize the frequency scanning. Experimental results show that the frequency-scanning linearity is improved by approximately one order of magnitude. Consequently, the maximum standard deviation of absolute distance measurements is reduced from 58.25 μm to 9.79 μm, and the maximum relative displacement deviation decreases from 42.97 μm to 11.56 μm. Furthermore, the velocity measurement precision for dynamic targets is improved by a factor of 2.61 to 5.75.

Optics ExpressVol. 34(8)
Chinese Academy of Sciences (CN), Harbin Institute of Technology (CN), Huzhou Vocational and Technical College (CN), Jangan University (KR), Delft University of Technology (NL)
State Key Laboratory for Manufacturing Systems Engineering, Key Research and Development Projects of Shaanxi Province
Openalex Percentile: Top 21%
Advanced SAR Imaging Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Frequency-scanning nonlinearity suppression for FSI ranging based on a phenomenological modeling approach — Hengkang Zhang, Xiawei Meng, et al. · Optics Express (2026) | TGRS Research Map | TGRS