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Fourier-basis active structured illumination sensing lidar imaging using crossed acousto-optic devices.
Applied Optics
|March 17, 2026
Summary
Fourier-basis active structured illumination sensing (F-BASIS) uses frequency-shifted beams to create unique interference fringes. This method enables detailed 2D lidar imaging by analyzing backscattered light, reconstructing images from Fourier coefficients.
Area of Science:
- Optics and Photonics
- Remote Sensing
- Computational Imaging
Background:
- Lidar technology enables remote sensing but often faces limitations in resolution and computational complexity.
- Structured illumination techniques enhance imaging by introducing patterned light, but traditional methods can be redundant or inefficient.
Purpose of the Study:
- To experimentally demonstrate and mathematically formulate a novel computational lidar remote-imaging scheme called Fourier-basis active structured illumination sensing (F-BASIS).
- To utilize structured-light traveling-fringe projection for enhanced spatial information acquisition in lidar systems.
Main Methods:
- Generation of a nearly non-redundant array of frequency-shifted beams using cascaded acousto-optic deflectors.
- Creation of O(K^4) unique traveling-wave sinusoidal interference fringes through pairwise beam interference.
- Detection of backscattered light and temporal Fourier transform for demodulating RF temporal beat notes.
Main Results:
- Successful experimental demonstration of the F-BASIS technique.
- Encoding of spatial Fourier component amplitude and phase in RF temporal beat notes.
- Reconstruction of 2D lidar images via spatial Fourier synthesis from acquired Fourier coefficients.
Conclusions:
- F-BASIS offers a computationally efficient and highly parallelized approach to lidar imaging.
- The technique effectively maps spatial information to the temporal frequency domain, enabling high-fidelity image reconstruction.
- This work advances computational imaging and remote sensing capabilities through innovative structured illumination.

