BP neural network-based spliced telescope translation aberration detection method

Abstract

The invention discloses a BP neural network-based spliced telescope translation aberration detection technology, belongs to the technical field of active optics, and aims to solve the problems of highhardware cost, complex calculation and low efficiency of the conventional spliced telescope translation aberration detection technology. The method comprises the following steps: 1, establishing an accurate theoretical relational expression of a sidelobe module value and sub-mirror translation aberration; 2, constructing a BP neural network, and training an artificial neural network model of thedistorted far-field light intensity image and the sub-mirror translation aberration by using the established data set; 3, aiming at the specific spliced telescope system in the step 2, acquiring lightintensity image information of a point source observation target on a focal plane under the same broadband spectrum light source, and inputting the light intensity image information into a main control computer; and 4, enabling the main control computer to firstly perform Fourier transform on the focal plane image, extract a sidelobe module value corresponding to each sub-mirror of a Fourier transform function as the input of a network model, and directly output the translation aberration of each sub-mirror by using the BP neural network model constructed in the step 2.

Description

technical field [0001] The invention belongs to the technical field of active optics and relates to a novel aberration detection technology, in particular to a splicing telescope translational aberration detection technology based on BP neural network. Background technique [0002] The resolving power and light-gathering ability of a telescope ultimately depend on the aperture size of the telescope. Therefore, in recent years, the telescope has been developing towards the direction of long focal length and large aperture. However, limited by the current technical level, the construction of a telescope with an aperture of 10 meters or more presents great challenges in terms of mirror material preparation, processing and testing, support structure and cost, and cannot meet the needs of existing astronomical observations. In the 1970s, people broke through the traditional full-aperture optical system design concept, and proposed the concept of building spliced ​​telescopes, ado...

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Problems solved by technology

[0004] The present invention aims at the problems of high hardware cost, complicated calculation and low efficiency of the current splicing type telescope translational aberration detection technology, and provides a novel splicing type telescope sub-mirror translational aberration detection method based on BP neural network. The method has low hardware cost, Only one focal plane image collected by the main imaging detector is used for aberration detection, and the aberration detection accuracy is high, the detection range is wide, and the detection speed is fast. Solve the problems raised in the above-mentioned background technology

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