Scalable Megapixel resolution Solid-State LiDAR architecture by Dual-MEMS coarse-fine Diffractive Beam Steering with Crosstalk Mitigation
Flash LiDAR offers wide-field-of-view (FOV) imaging but suffers from short range and low spatial mapping density. Point-and-shoot LiDAR achieves longer range and higher resolution but suffers from reduced FOV and slower scanning rates. We present a hybrid solid-state LiDAR architecture that combines diffractive beam and holographic image steering using synchronized transmitter and receiver Digital Micromirror Devices (Tx-DMD and Rx-DMD) for coarse beam steering and a Phase Light Modulator (PLM) for fine holographic image steering. The Tx/Rx-DMD pair decouples the full FOV from the range by sequentially steering illumination and collection into matched diffracted sub-FOVs, while the PLM subdivides each sub-FOV into a 3×3 grid of sub-sub-FOVs. In this paper, we demonstrate a ninefold increase in sampling count from 7,168 to 64,512 points across 52.59°×7.32° FOV while achieving an angular resolution ranging from 0.153°-0.229° at 13.32 FPS. First-order optical modeling and receiver focal length optimization provide contiguous, non-overlapping illumination and imaging across DMD diffraction orders. Crosstalk from cover glass reflection and zeroth-order diffraction from both the DMD and PLM is reduced using Fourier-domain masking in the Tx-path and polarization-selective Fourier filtering in the Rx-path. The proposed architecture provides a scalable pathway from sub-megapixel LiDAR to multi-megapixel LiDAR through n^2 fold spatial sampling enhancement with reduced optical crosstalk.
Authors
- Yuzuru Takashima (ORCID: https://orcid.org/0000-0003-3011-9320)
- Xianyue Deng (ORCID: https://orcid.org/0000-0001-8669-8769)
- Emil Rajan Varghese
- Yefu Zhang
- Lily McKenna
- Abrar Liaf
- Rajesh Shrestha
Publication Details
- Journal
- Optics Express
- Published
- 2026-10-08
- DOI
- https://doi.org/10.1364/oe.613182
- Primary Topic
- Advanced Optical Sensing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00