An adaptive optics system based on all-optical neural network

A technology of adaptive optics and neural network, applied in the field of adaptive optics system, can solve the problems such as the inability to avoid the time-consuming link of analog-to-digital conversion, the difficulty of realizing KHz level control bandwidth, etc., and achieve the effect of low power consumption

Active Publication Date: 2022-07-01
LASER FUSION RES CENT CHINA ACAD OF ENG PHYSICS
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Problems solved by technology

The deep learning neural network based on the digital information system can obtain the solution relationship between the received image and the control response through training, but it cannot avoid time-consuming links such as analog-to-digital conversion, data transmission, and calculation, so it is difficult to achieve KHz-level control bandwidth

Method used

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  • An adaptive optics system based on all-optical neural network
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  • An adaptive optics system based on all-optical neural network

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Embodiment 1

[0036] like figure 2 As shown, an adaptive optics system based on an all-optical neural network includes an all-optical neural network solver 7, a photovoltaic conversion array 8 and a high-voltage amplifier 9, wherein the target beam 4 passes through the optical channel including the boundary layer 5. Carrying the phase distortion information therein, the target beam 4 is reflected by the deformable mirror 6 to the all-optical neural network solver 7, and solved into the deformable mirror driving amount information (ie, the optical signal) defined by the beam intensity. The light beam 4 is the light beam emitted or reflected by the target, and the photovoltaic conversion array 8 is used to convert the driving quantity information of the deformable mirror into a weak electric analog signal, that is, the photovoltaic conversion array 8 converts the optical signal into an electric signal, and at the same time, the weak electric analog signal is processed by high voltage. The am...

Embodiment 2

[0043] like image 3 As shown, the same parts of this embodiment and the first embodiment will not be repeated, and the differences are:

[0044] The target beam is the beam emitted or reflected by the target 10 .

[0045] The deformable mirror 6 has 19 actuating units, and the actuating units are distributed as follows Figure 4 shown. During the training data acquisition process, 50,000 wavefront distortion distributions were randomly generated.

[0046] The all-optical neural network solver 7 is composed of 5 optical diffraction plates, and the cross-section of the optical diffraction plates is square, the side length of which is 1 mm, and the distance between adjacent optical diffraction plates is 100 microns. face like Figure 5 shown, where, image 3 The five optical diffraction plates shown are represented by pp1, pp2, pp3, pp4, and pp5 in order from top to bottom.

[0047] The photovoltaic conversion array 8 includes 19 conversion units in the same arrangement as...

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Abstract

The invention relates to an adaptive optical system based on an all-optical neural network, belongs to the technical field of adaptive optical systems, and includes an all-optical neural network solver, a photovoltaic conversion array and a high-voltage amplifier. The optical neural network solver solves and modulates the target beam, converts it into an optical signal that drives the deformable mirror, and replaces the wavefront sensing, signal calculation, digital-to-analog conversion and other devices in the traditional adaptive optics system. Reaching the order of KHz, it can meet the high-bandwidth wavefront control requirements in non-cooperative target scenarios. At the same time, the optical circuit replaces the traditional circuit, and realizes the target beam to the deformable mirror drive electrical signal with extremely low power consumption and extremely high response speed. It can achieve the effect of real-time wavefront correction, and can be used in military and other scenarios that require high response bandwidth for beam wavefront correction.

Description

technical field [0001] The invention belongs to the technical field of adaptive optical systems, and in particular relates to an adaptive optical system based on an all-optical neural network. Background technique [0002] In view of the sensitivity of the laser to the phase of the transmission channel, the phase disturbance caused by atmospheric turbulence and other effects will lead to the disturbance of the laser beam wavefront, which will seriously reduce the focusing performance of the laser beam, thus limiting the ability of the laser as a long-distance combat method. In order to solve the problem of wavefront disturbance in atmospheric turbulence, adaptive optics (AO) technology, which can correct the wavefront of the beam, came into being. A typical adaptive optics wavefront control system mainly consists of three basic parts, such as a wavefront sensor, a control processor, and a wavefront corrector, to form a basic closed-loop control system, such as figure 1 show...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G02B26/06G06N3/067G06N3/08
CPCG02B26/06G06N3/067G06N3/08
Inventor 胡东霞耿远超黄晚晴王德恩刘兰琴王文义张颖孙喜博
Owner LASER FUSION RES CENT CHINA ACAD OF ENG PHYSICS
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