The space adaptive optics system used for space remote sensing system to improve the image quality will face the
challenge from the wider field of view. In this paper, the SPGD algorithm is present to realize the wavefront sensorless
adaptive optics correction for a wide field of view optics system. Giving the traditional TMA optics system as the example,
the image quality of different field of view is analyzed when there are some different surface errors in the optics system.
The gradient evaluation method and convergence of SPGD is analyzed in detail. The issue of parameter such as the gain
and step selection for SPGD is discussed. Computer simulation of a remote sensing AO system based on SPGD is studied.
And the results show that wavefront sensorless wide field of view adaptive optics correction based SPGD algorithm for the
segmented primary mirror system is acceptable, and the wavefront error is within 1/10λrms.
Position errors of three-mirror reflective space optical system will affect the whole system badly,
so we have to calibrate these errors in orbit. This paper proposes a new method for the first time, which
is: we can use Stochastic Parallel Gradient Descent algorithm to calibrate three-mirror reflective remote
sensor, this method don't need wavefront sensor to calibrate position errors. It uses root mean square of
radius of image as system merit, through controlling the six position of second mirror to compensate
system error. This method is suitable for the calibration of three mirror reflective space optical system
for its needless of using wavefront sensor. Results of the simulation show that compared with
traditional sensitive matrix inversion algorithm, this method increases the dynamic range of initial
position errors, and it can improve wavefront error from about 1 wave rms to lower than 0.04 wave rms
in the center field of view.
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