弱信號(hào)哈特曼波前探測(cè)算法的研究
[Abstract]:Adaptive optics has been widely used in large aperture ground-based telescope systems to overcome wavefront distortion caused by atmospheric turbulence. The effect of wavefront correction is directly affected by the detection accuracy of the adaptive system. In this paper, the weak signal Hartmann wavefront detection algorithm in liquid crystal adaptive optical system is studied. The accuracy of spot centroid detection is the most important performance index of Hartmann wavefront detector, which determines the detection ability of Hartmann wavefront detector. The accuracy of centroid detection is seriously affected by the noise at the time of weak signal detection. Considering that the photon noise overlaps the signal in a geometric position, the energy of light within a sufficiently small geometric region does not change much, while the photon noise is expected to fluctuate considerably, A local mean weighted algorithm based on local mean technique and weighted technique is proposed to suppress the influence of photon noise. When the photon number of sub-aperture is 100 (5.5 stars et al.) and the atmospheric coherent length is 10cm and 5cm respectively, the local mean weighted algorithm is used to suppress photon noise, and the RMSs of centroid detection error are changed from 0.142? And 0.181? Reduced to 0. 1 12? And 0.145? The Zernike model coefficients of wavefront distortion caused by atmospheric turbulence are not statistically independent and therefore are not the most effective reconstruction model. Compared with Zernike model, using K-L model, which is statistically independent, can improve the precision of wavefront reconstruction. At the subaperture number of 20 脳 20, the atmospheric coherence length is 10 cm, the centroid detection error is 0.1? The RMS value of the wavefront reconstruction error can be determined by? To reduce to a small, reduced. The optimal number of reconstructed modes is different under different observation conditions. Too many or too few modes will lead to the increase of wavefront reconstruction error. Therefore, the differential star image motion method is proposed to calculate the atmospheric coherent length and centroid detection error simultaneously from Hartmann's centroid array data, and then obtain the best reconstruction mode number. In order to ensure the ergodic states of turbulence and take into account the computational complexity, the central interval of neutron aperture is determined to be one sub-aperture, and the sampling time length and sampling time interval are determined to be 5000ms and 50ms, respectively. Even if the centroid detection error is 0. 25? The atmospheric coherence length and centroid detection error calculated by this method can also minimize the wavefront reconstruction error. In liquid crystal adaptive optical system, Hartmann detector is used to detect skew aberration, which saves the special tilting detector, simplifies the adaptive optical system and improves the energy efficiency of the system. The small spot method, which uses the average centroid migration of all effective light spots as tilting signals, has high detection accuracy but small dynamic range. However, the large spot method, which uses the center of gravity of all light spots as tilting signals, can be extended to the whole CCD panel, although the dynamic range can be extended to the whole CCD panel. But the detection error is too big. In order to correct the large amplitude tilt accurately, a method is proposed to identify the sub-spot by mesh division and to associate the sub-spot with the corresponding microlens by template matching. The dynamic range of the method is the same as that of the large spot method, and the precision is the same as that of the small spot method. Even under the condition of the photon number of sub-aperture 100 (5.5 stars, etc.) and the atmospheric coherent length 5cm, the method can still guarantee the closed loop of the tilt loop. The detection error PV is 0.07 ". In a word, the research of weak signal Hartmann wavefront detection algorithm in this paper not only improves the correction effect of adaptive system, but also enables the adaptive system to work under more extreme observation conditions.
【學(xué)位授予單位】:中國(guó)科學(xué)院研究生院(長(zhǎng)春光學(xué)精密機(jī)械與物理研究所)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2016
【分類號(hào)】:O439
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