Co-phasing sparse aperture imaging systems using spatially modulated analytic phase diversity algorithm

Ming Li; Zongliang Xie; Weilong Wei; Haotong Ma

doi:10.1117/12.3020137

30 April 2024 Co-phasing sparse aperture imaging systems using spatially modulated analytic phase diversity algorithm

Ming Li, Zongliang Xie, Weilong Wei, Haotong Ma

Proceedings Volume 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition; 131561K (2024) https://doi.org/10.1117/12.3020137
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

Optical sparse aperture imaging systems require a very accurate control of the phase errors between sub-apertures to achieve high-resolution. The linearized analytic phase diversity (LAPD) is a fast technique to co-phase sparse aperture imaging systems. However, it requires focal plane and out-of-focus images to achieve phase diversity, so the light path is complex. In this Letter, we propose a spatially modulated analytic phase diversity algorithm. The diversity images are obtained by the spatial modulation diversity technology (SMDT). The validity of the method was verified by simulation experiments. The method can typically detect piston errors within |π/2| rad rms in the extended target scenes. Co-phase accuracy can be achieved by iterating up to λ/60. The method does not require additional splitting device, which is conducive to system miniaturization, while the required calculations are simple and the piston detection is fast. This method can give a simple, fast and low system complexity solution for fine phasing of sparse aperture imaging systems under any imaging scenes.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ming Li, Zongliang Xie, Weilong Wei, and Haotong Ma "Co-phasing sparse aperture imaging systems using spatially modulated analytic phase diversity algorithm", Proc. SPIE 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition, 131561K (30 April 2024); https://doi.org/10.1117/12.3020137

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