Affiliation:
1. Changsha University of Science and Technology
2. Sichuan Gas Turbine Research Institute, AECC
Abstract
In the domain of frequency sweeping interferometry, the accurate
extraction of distance information from nonlinear frequency scanning
signals holds paramount significance in ensuring meticulous
measurements of high precision. This paper presents a novel, to the
best of our knowledge, high-speed distance extraction algorithm based
on the table lookup method and validates its feasibility through
theoretical models, simulations, and practical experiments. The
proposed algorithm achieves comparable accuracy to traditional methods
involving resampling and Hilbert transform. However, it outperforms
them in robustness against noise and variations in sampling points.
This method can accurately process signals sampled even below the
Nyquist sampling rate. The simplicity and computational efficiency of
the proposed approach make it suitable for various nonlinear sampling
applications, promising broad applicability in scientific and
engineering contexts.
Funder
National Natural Science Foundation of
China
National Key Research and Development
Plan Project
China Postdoctoral Science
Foundation
Joint Fund of Ministry of Education for
Equipment Pre-research
National Defense Science and Technology
Key Laboratory Fund
Guangdong Province Key Research and
Development Plan Project
Fok Ying Tung Education
Foundation
Young Elite Scientists Sponsorship
Program by CAST
Subject
Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering