Open AccessSynthetic aperture imaging by using spatial modulation diversity technology with stochastic parallel gradient descent algorithm
Author(s) -
Haotong Ma,
Zongliang Xie,
Xuejun Long,
Bo Qi,
Guanghui Ren,
Jing Shi,
Zongbin Cui,
Yang Jiang,
Xiaojun Xu
Publication year - 2015
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.23.014836
Subject(s) - aperture (computer memory) , computer science , zernike polynomials , synthetic aperture radar , optics , gradient descent , spatial light modulator , modulation (music) , algorithm , antenna diversity , transmittance , stochastic gradient descent , image resolution , wavefront , computer vision , artificial intelligence , physics , telecommunications , acoustics , artificial neural network , antenna (radio)
In this paper, we propose and demonstrate the synthetic aperture imaging by using spatial modulation diversity technology with stochastic parallel gradient descent (SPGD) algorithm. Instead of creating diversity images by means of focus adjustments, the technology, proposed in this paper, creates diversity images by modulating the transmittance of individual sub-aperture of multi-aperture system, respectively. Specifically, spatial modulation is realized by switching off the transmittance of each sub-aperture with electrical shutters, alternately. Based on these multi diversity images, SPGD algorithm is used for adaptively optimizing the coefficients of Zernike polynomials to reconstruct the real phase distortions of multi-aperture system and to restore the near-diffraction-limited image of object. Numerical simulation and experimental results show that this technology can be used for joint estimation of both pupil aberrations and an high resolution image of the object, successfully. The technology proposed in this paper can have wide applications in segmented and multi-aperture imaging systems.