Calibration of non-Common path aberration using multi-Channel phase diversity technique
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DOI: 10.1016/j.ijleo.2016.10.059
Abstract: Abstract This paper provides a method of using multi-channel Phase Diversity technique for online calibration of non-common path aberration of AO system. The PD technique estimate the phase aberration by collecting one or more frames… read more here.
Keywords: phase diversity; non common; path; aberration ... See more keywords
Real-time wavefront reconstruction for extended object based on phase diversity
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DOI: 10.1016/j.ijleo.2017.06.064
Abstract: Abstract We present a real-time solution to the phase diversity problem when the observed objects are extended scenes. It utilizes an iterative linearization of the optical transfer functions (OTF) in at least two diversity planes… read more here.
Keywords: time wavefront; phase diversity; real time; diversity ... See more keywords
Experimental validation of joint phase and amplitude wave-front sensing with coronagraphic phase diversity for high-contrast imaging
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DOI: 10.1051/0004-6361/201732439
Abstract: Context. The next generation of space-borne instruments dedicated to the direct detection of exoplanets requires unprecedented levels of wavefront control precision. Coronagraphic wavefront sensing techniques for these instruments must measure both the phase and amplitude… read more here.
Keywords: coronagraphic phase; phase; phase diversity; phase amplitude ... See more keywords
Coronagraphic phase diversity through residual turbulence: performance study and experimental validation
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DOI: 10.1093/mnras/stz1986
Abstract: Quasi-static aberrations in coronagraphic systems are the ultimate limitation to the capabilities of exoplanet imagers both ground-based and space-based. These aberrations – which can be due to various causes such as optics alignment or moving… read more here.
Keywords: optics; coronagraphic phase; phase diversity; residual turbulence ... See more keywords
Parallel blind deconvolution reconstruction using phase diversity for three-dimensional imaging
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DOI: 10.1117/1.oe.56.4.043104
Abstract: Abstract. Phase diversity (PD) is the special case of multiframe blind deconvolution algorithm, where an object is observed with a stack intentionally defocused image. The known defocused information between phases is used to estimate the… read more here.
Keywords: three dimensional; phase diversity; blind deconvolution; deconvolution ... See more keywords
Phase diversity method based on an improved particle swarm algorithm used in co-phasing error detection.
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DOI: 10.1364/ao.404707
Abstract: The phase diversity (PD) algorithm is an image-based co-phasing error detection method for segmented mirror synthetic aperture optical systems. Particle swarm optimization (PSO) is suitable for PD for its fast convergence speed and simple structure.… read more here.
Keywords: algorithm; error; phase diversity; particle swarm ... See more keywords
Maintenance of broadband detection in photonic time-stretched coherent radar employing phase diversity.
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DOI: 10.1364/oe.27.032892
Abstract: Frequency response fluctuation in a radar system distorts the envelope of the output signal after matched filtering, thereby impairing its broadband detection performance. Simulations are made under various types and degrees of fluctuation. The results… read more here.
Keywords: broadband detection; detection; phase diversity; radar ... See more keywords
Phase-diversity wavefront sensing enhanced by a Fourier-based neural network.
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DOI: 10.1364/oe.466292
Abstract: Phase diversity wavefront sensing (PDWS) has been a successful approach to quantifying wavefront aberrations with only a few intensity measurements and nonlinear optimization. However, the inherent non-convexity of the inverse problem may lead to stagnation… read more here.
Keywords: neural network; network; phase diversity; diversity wavefront ... See more keywords
Generalization of learned Fourier-based phase-diversity wavefront sensing.
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DOI: 10.1364/oe.484057
Abstract: Proper initialization of the nonlinear optimization is important to avoid local minima in phase diversity wavefront sensing (PDWS). An effective neural network based on low-frequency coefficients in the Fourier domain has proved effective to determine… read more here.
Keywords: network; fourier based; phase diversity; diversity wavefront ... See more keywords